Python Developer Jobs in Oman

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Stagiaire ingénieur-e système sur centrale inertielle - Filtre de Kalman invariant F/H</p><br><br><p>Stage</p><br><br><p>6 mois à partir du 01/02/2026</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Safran Electronics &amp; Defense est l'un des leaders mondiaux des systèmes de navigation pour les applications civiles et militaires, sur tout type de porteur (sous-marin, navire, char d'assaut, avion, hélicoptère, lanceur, satellite…).<br>Une centrale inertielle est un équipement dont le but est de fournir à chaque instant sa position, sa vitesse et son orientation à un porteur (dont les types sont variés, de la fusée Ariane 5 au sous-marin, en passant par les avions et les moyens de transport terrestre par exemple). Une centrale inertielle est constituée entre autre : <br>• de capteurs inertiels (3 gyromètres et 3 accéléromètres) permettant d'estimer la quantité de mouvement subis par le porteur, <br>• de capteurs non-inertiels (baromètre, odomètre, loch, récepteur GNSS, caméra, …) améliorant la localisation du porteur à l'aide d'un algorithme de fusion de données.<br>Les modèles mathématiques décrivant l'évolution des grandeurs fondamentales calculées par les systèmes de navigation (position, vitesse et attitudes) sont non linéaires. Il s'agit d'une contrainte très forte pour le choix de l'algorithme de fusion de données utilisé dans les logiciels de navigation. Une solution très répandue est l'utilisation d'un filtre de Kalman Etendu. Cet algorithme se base sur une étape de linéarisation des modèles autour de l'état courant estimé. Ceci rend la précision de la localisation sensible aux erreurs de linéarisations liées à l'erreur sur l'état estimé. Certains cas opérationnels conduisent à des problèmes dits de « fausse observabilité » dégradant sensiblement la précision des centrales inertielles. C'est pourquoi, de nouveaux types d'algorithmes de fusion de données plus adaptés aux systèmes non linéaires sont à l'étude. <br>Le but de ce stage est d'étudier un algorithme innovant appelé « filtre de Kalman Invariant Etendu » (Invariant Extended Kalman Filter en anglais), développé par Safran Electronics &amp; Defense et Mines Paristech, dans les systèmes de navigation. <br>En s'appuyant sur les travaux précédemment menés sur ce sujet, le travail consistera dans un premier temps à adapter et implémenter cet algorithme sur un simulateur de centrale inertielle et à analyser les performances atteintes. Dans un second temps, tester cet algorithme en temps réel sur une centrale inertielle.<br>Vous serez intégré dans l'équipe de développement des centrales inertielles pour les porteurs terrestres et marines. Vous serez accompagné par des experts pour développer vos compétences.</p><br><br><p>Vous réalisez votre stage afin de finaliser votre diplôme d'ingénieur ou équivalent BAC+5.</p><br><br><p>Étudiant-e en école d'ingénieur ou équivalent, bon mathématicien avec des bases en<br>informatique, électronique ou systèmes embarqués.<br>Vous avez des connaissances en programmation (C, C++, Python), en robotique, en automatique et/ou en systèmes embarqués.<br>Vous travaillerez sur du traitement de signal et du filtrage de Kalman. Les outils de simulation seront de type Matlab Simulink .<br>Curiosité, rigueur et capacité à travailler en équipe.<br>Vous avez une bonne capacité d'analyse et de synthèse et êtes autonome.<br>Méthodique et doté d'une bonne capacité rédactionnelle vous pourrez collaborer<br>efficacement avec les équipes d'ingénieurs systèmes, logiciels et les responsables de projet pour mener à bien votre mission.</p><br><br><br> </div>

<p>Develop and execute a strategic roadmap for the optimal utilization of OCI and AWS resources, aligning with the organization s business goals and technology objectives. Collaborate with senior leadership to define and refine the cloud strategy, ensuring that OCI and AWS resources are leveraged effectively to meet scalability, performance, and cost-efficiency targets. Analyse industry trends, best practices, and emerging technologies in the cloud space to provide insights and recommendations for enhancing the organization s cloud infrastructure. Establish governance frameworks, policies, and procedures to ensure compliance with security, regulatory, and data protection requirements. Act as a liaison between technical teams, business stakeholders, and executive management, translating technical concepts into actionable insights for informed decision-making.Performance Management &amp; KPI Tracking. Design, deploy, and manage OCI and AWS environments, including compute, storage, networking, and security components, following best practices and architectural guidelines. Configure and maintain automated infrastructure provisioning, scaling, and management using infrastructure as Code (IaC) tools such as Terraform, Cloud Formation, or equivalent. Monitor and optimize the performance, availability, and cost of OCI and AWS resources, proactively identifying and addressing bottlenecks, vulnerabilities, and areas for improvement. Implement and manage security controls, including identity and access management (IAM), encryption, network security, and compliance monitoring. Troubleshoot and resolve complex technical issues related to cloud infrastructure, collaborating with cross-functional teams and vendors as needed. Stay up to date with OCI and AWS updates, releases, and service offerings, evaluating their applicability and potential benefits for the organization. Mentor and guide junior members of the Cloud Operations team, providing technical expertise and fostering a culture of knowledge sharing and continuous learning. Collaborate with HR and management to develop training programs, workshops, and resources to enhance the cloud skills and knowledge of team members. Foster effective communication and collaboration across cross-functional teams, ensuring that cloud-related initiatives align with broader organizational objectives. Participate in the recruitment and onboarding of new team members, contributing to the selection process and providing technical guidance during the integration phase. Act as a point of contact for stakeholders, promoting a customer-centric approach to problem-solving and addressing inquiries and concerns in a timely and professional manner.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualification Bachelor s degree in Computer Science, Information Technology, or a related field; Master s degree preferred. Certification Relevant cloud certifications such as Oracle Cloud Infrastructure (OCI) Certified, AWS Certified SysOps Administrator, or equivalent. Experience 5 7 years of experience in strategy execution, business performance tracking, or PMO roles. Exposure to KPI governance and strategic reporting in ICT or service-based organizations preferred. Skills At least 5 years of equivalent work experience as a Cloud Engineer-OCI or similar role. Proven experience in designing, deploying, and managing complex cloud environments using OCI and AWS services. Strong understanding of infrastructure as code (IaC) principles and tools, automation, and DevOps practices. Proficiency in scripting languages such as Python, PowerShell, or Bash. Demonstrated ability to lead technical projects, mentor team members, and collaborate effectively across functional areas. Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.</p>

<p><b>&nbsp;Role Overview We are seeking an expert, highly strategic MicroStrategy (MSTR) Developer with 5+ years of </b>progressive business intelligence and data visualization experience to join our enterprise analytics division in Oman. The successful candidate will act as the core architect and technical anchor for our enterprise reporting platforms. This role requires extensive expertise in advanced MicroStrategy platform architecture, strong programming capabilities using SQL and the ability to integrate and query data across Hadoop/Big Data/ETL ecosystems. Experience inside the Telecom domain and advanced optimization skills using Teradata SQLwill be treated as key competitive advantages. Mandatory Requirement: This position is based in Oman. Candidates must be fully willing to relocate to Oman for a long-term contract. Key Responsibilities 1. BI Architecture &amp; Dashboard Design Architect, design, and manage enterprise-level MicroStrategy (MSTR) environments, including schema objects (attributes, facts, hierarchies) and public objects (metrics, prompts, filters, custom groups). Build advanced, high-performance executive Dossiers, modern RSD (Report Services Documents), and interactive HyperIntelligence cards. Lead governance across the MSTR metadata layer, ensuring data security, precise user privileges, and reusable object design patterns. 2. Big Data &amp; Python Integration Integrate MicroStrategy directly with Hadoop Big Data platforms (HDFS, Hive, Impala), optimizing configuration environments like the MicroStrategy Hadoop Gateway for lightning-fast in-memory processing. 3. VLDB &amp; Performance Optimization Perform deep VLDB (Very Large Database) properties tuning within MicroStrategy to optimize SQL generation targeting underlying platforms. Partner with DBAs to tune analytical queries targeting Teradata and Hadoop clusters by analyzing execution plans (Explain Plans) and implementing partition mapping, aggregate join indexing, or multi-pass SQL optimization. Required Skills &amp; Qualifications Technical Requirements MicroStrategy Mastery: 5+ years of dedicated development experience across MicroStrategy Web, Workstation, Developer, and Intelligence Server administration. Big Data Ecosystem: Solid working experience accessing, structuring, and loading large datasets from Hadoop clusters (Hive/Impala). Relational Databases: Exceptional SQL rewriting skills. Hands-on tuning experience with Teradata (utilizing Primary Indexes, Partitioned Primary Indexes, and volatile tables) is an added advantage. Experience &amp; Education Total Experience: Strictly 5+ years in Business Intelligence, Analytics, or Data Engineering tracks. Domain Expertise: Experience in the Telecom Domain (handling large data telemetry like Call Detail Records (CDRs), subscriber retention modeling, churn metrics, or interconnect billing insights) is highly preferred / good to have. Education: Bachelors or Masters degree in Computer Science, Information</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Skills &amp; Qualifications</strong></p><p><strong>Technical Requirements</strong></p><ul><li>MicroStrategy Mastery: 5+ years of dedicated development experience across MicroStrategy Web, Workstation, Developer, and Intelligence Server administration.</li><li>Big Data Ecosystem: Solid working experience accessing, structuring, and loading large datasets from Hadoop clusters (Hive/Impala).</li><li>Relational Databases: Exceptional SQL rewriting skills. Hands-on tuning experience with Teradata (utilizing Primary Indexes, Partitioned Primary Indexes, and volatile tables) is an added advantage.</li></ul><p><strong>Experience &amp; Education</strong></p><ul><li>Total Experience: Strictly 5+ years in Business Intelligence, Analytics, or Data Engineering tracks.</li><li>Domain Expertise: Experience in the Telecom Domain (handling large data telemetry like Call Detail Records (CDRs), subscriber retention modeling, churn metrics, or interconnect billing insights) is highly preferred / good to have.</li><li>Education: Bachelors or Masters degree in Computer Science, Information</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Responsable de Lot Intégration &amp; Vérification – Systèmes de Navigation Aéronautique F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Rejoignez Safran Electronics &amp; Defense et contribuez au développement de systèmes de navigation de haute technologie, essentiels au pilotage et à la sécurité des aéronefs.<br>________________________________________<br>Votre futur environnement<br>Au sein du CIPN (Centre d'Ingénierie des Produits de Navigation), vous intégrerez une équipe jeune, dynamique et solidaire, en charge du développement de centrales inertielles pour l'aéronautique.<br>________________________________________<br>Ce que vous ferez :<br>Contribuer à l'Intégration et la Vérification d'un équipement aéronautique critique, avec les missions suivantes :<br>• Assurer le rôle de référent technique IV vis-à-vis des autres métiers systèmes et des responsables de projets.<br>• Gérer les relations transverses (responsable de projet, experts, techniciens, responsable SSE, ateliers et métiers support).<br>• S'assurer que le périmètre soit doté de moyens adaptés (budget, ressources &amp; compétences, matériel) pour atteindre ses objectifs ou replanifier les activités en cohérence des moyens le cas échéant.<br>• Encadrer et animer une équipe d'ingénieurs pluridisciplinaires.<br>• Piloter les activités de sous-traitance.<br>• Suivre et garantir le respect des coûts / délais / qualité.<br>• Veiller à l'application des processus internes et réglementaires (plan de vérification, guides société, DO-178, ARP4754).<br>• Préparer et présenter les jalons techniques et audits (revues de validation et vérification).<br>• Identifier les risques techniques et proposer des solutions ou alternatives robustes.<br>• Être acteur de l'amélioration continue et coordonner la conduite du changement.<br>Le poste combine expertise technique et responsabilité projet : vous ne gérez pas uniquement des plannings, vous comprenez et challengez les choix de vérification ainsi que les instrumentations.<br>________________________________________<br>Votre mission :<br>Vous explorerez les enjeux techniques comme le fonctionnement du produit et sa physique, tout en pilotant une équipe pluridisciplinaire de 10 personnes venant d'horizons variés. Vous serez acteur de décisions stratégiques, en intervenant sur des études techniques, en relevant des défis complexes en traitement du signal, algorithmie, instrumentation de haute précision, et temps réel. Grâce à vos échanges avec les responsables projets, experts et référents, vous influencerez la roadmap de l'équipe et du métier IV. Vous participerez activement à l'amélioration continue, en optimisant bancs d'essais, outils, documents et process. Chaque jour, votre vision et votre dynamisme contribueront à faire progresser l'excellence collective.</p><br><br><p>________________________________________<br>Ce que nous offrons :<br>• Un environnement de travail collaboratif et stimulant, où vous serez accompagné.e par une équipe soudée.<br>• L'opportunité d'acquérir des bases techniques et méthodologiques solides en intégration, vérification et certification aéronautique.<br>• L'occasion d'approfondir votre maîtrise des essais, de l'instrumentation et des systèmes embarqués.<br>• La possibilité de découvrir d'autres métiers au sein du projet, comme la conception système, l'automatique et le logiciel.<br>En plus d'être un poste passionnant et dynamique, il offre de très belles perspectives d'évolution à moyen/long terme, comme la prise de responsabilités hiérarchiques ou fonctionnelles. Plusieurs filières vous seront accessibles : projet, management, expertise ou lean sigma.<br>Safran Electronics &amp; Defense Eragny est un site de recherche &amp; développement accessible en transport à 50 min de Paris Gare du Nord / Charles de Gaulle – Etoile / Paris Saint Lazare, situé à proximité de l'Oise et de l'île de loisirs de Cergy-Pontoise, proche du parc naturel régional du vexin français et offrant de multiples possibilités d'activités sportives pour s'aérer l'esprit.<br>Rejoignez-nous dès maintenant et participez à façonner l'avenir de l'aéronautique avec Safran !<br>Navigation inertielle : Comment garder le cap ! (youtube.com)<br>https://www.youtube.com/watch?v=fdMTKKP0d7g<br>________________________________________</p><br><br><p>Profil recherché :<br>Vous êtes BAC+5 ingénieur.e ou universitaire ayant 5 ans d'expérience ou plus en environnement industriel, dans le développement système (conception, architecture, intégration, vérification). Vous êtes rigoureux.se, autonome et motivé.e à relever des défis passionnants et vous projetez dans le métier d'ingénieur.e système spécialisé en recherche expérimentale et développement de produit.<br>Compétences et expériences recherchées :<br>Vous disposez idéalement de compétences ou d'une expérience dans les domaines suivants :<br>• Outils de pilotage, de suivi et bureautique (Microsoft Project, Power BI, Word, Excel/VBA).<br>• Gestion de projet et management d'équipe.<br>• Spécification des besoins, rédaction de plans, traçabilité des tests et des exigences (DOORS,…),<br>• Data science et traitement de signal (Matlab, Python),<br>• Instrumentation et recherche expérimentale,<br>• Informatique industrielle (TestStand, VeriStand, LabVIEW, protocoles de communication ARINC/RS/Ethernet/1553, analogique/numérique, logique &amp; numération …),<br>• Systèmes automatisés, systèmes embarqués et logiciels temps réel,<br>Atouts différenciants :<br>• Normes aéronautiques critiques (DO178, DO254, DO334) et certification (ARP4754A/B).<br>• Bonne connaissance des principes et enjeux de l'intelligence artificielle (générative, analytique, agentique), alliée à une vision stratégique et une capacité à encadrer des équipes et piloter des projets.<br>Qualités recherchées :<br>Bonne compréhension du cycle de développement produit jusqu'à l'industrialisation,<br>Leadership naturel, capacité à fédérer et à décider,<br>À l'aise à l'oral et à l'écrit dans un contexte international,<br>Rigueur, esprit de synthèse et goût pour les environnements exigeants,<br>Expérience avérée en vérification, ou architecture système,<br>Expérience ou appétence forte pour le pilotage de projet et le management technique.<br>Ce poste n'est pas un rôle de gestion de projet pur.</p><br><br><br> </div>

<p>You'll work closely with Product, Frontend, DevOps, and QA to deliver reliable, scalable systems, and you'll be the person who makes the hard architectural calls and keeps the team moving. The right person is equally at home in a code review, a system-design discussion, and a one-on-one.</p><p><br></p><p>&nbsp;</p><p><br></p><p>What You'll Do</p><p><br></p><p>&nbsp;Technical Leadership</p><p>- Design and build scalable, maintainable backend systems and APIs in **PHP** and **Laravel**.</p><p>- Set the technical direction for our backend services and own the major architecture decisions.</p><p>- Establish and uphold coding standards, design patterns, and engineering best practices.</p><p>- Lead code reviews and hold the team to a high bar for quality.</p><p>- Improve the performance, scalability, reliability, and security of our systems.</p><p>- Evaluate and introduce new tools and technologies where they earn their place.</p><p>- Keep technical debt in check without slowing down delivery.</p><p><br></p><p>&nbsp;</p><p><br></p><p>Team Leadership</p><p>- Lead, mentor, and develop a team of backend engineers across different experience levels.</p><p>- Hold regular one-on-ones, set clear goals, and support each engineer's growth.</p><p>- Plan and prioritize the team's work, and run sprint planning and delivery.</p><p>- Build a culture where engineers do their best work and support one another.</p><p>- Interview, hire, and onboard new engineers as the team grows.</p><p>- Translate business goals into clear technical plans and represent engineering to stakeholders.</p><p><br></p><p>&nbsp;</p><p><br></p><p>Delivery</p><p>- Ship well-tested features on time and to a high standard.</p><p>- Partner with Product, Frontend, DevOps, and QA to deliver end to end.</p><p>- Communicate progress, risks, and trade-offs clearly to both technical and non-technical audiences.</p><p><br></p><p>What We're Looking For</p><p><br></p><p>&nbsp;</p><p><br></p><p>Technical Skills</p><p>- Expert-level PHP and deep, practical experience with Laravel — Eloquent, the service container, queues, events, and middleware.</p><p>- Strong grasp of software architecture and design patterns (SOLID, dependency injection, repository pattern; Domain-Driven Design a plus).</p><p>- A track record of designing and building RESTful APIs(GraphQL experience welcome).</p><p>- Solid relational-database skills (MySQL / PostgreSQL): schema design, indexing, query optimization, and migrations.</p><p>- Experience with caching and job queues — Redis, Laravel Horizon, RabbitMQ, or similar.</p><p>- Working knowledge of microservices and modular-monolith architectures, and the judgment to choose between them.</p><p>- A disciplined approach to testing with PHPUnit or Pest.</p><p>- Comfortable with Git, CI/CD pipelines, and Docker.</p><p>- Hands-on experience with at least one cloud platform (AWS, GCP, or Azure).</p><p>- Sound understanding of application security and performance tuning at scale.</p><p><br></p><p>&nbsp;</p><p><br></p><p>Leadership &amp; People Skills</p><p>- Proven experience leading or mentoring a team of engineers.</p><p>- Clear, direct communication— you can make complex ideas easy to follow.</p><p>- Strong judgment and problem-solving under real-world constraints.</p><p>- Comfortable giving and receiving honest feedback.</p><p>- Solid experience working in Agile / Scrum teams.</p><p>- The ability to balance technical quality against business priorities and deadlines.</p><p>- A steady, constructive approach when priorities shift or pressure rises.</p><p>- A real interest in helping the people around you grow.</p><p><br></p><p>Job requirements</p><p>Requirements</p><p>&nbsp;</p><p><br></p><p>[5]+ years of backend development, much of it in PHP / Laravel.</p><p><br></p><p>[2]+ years leading, mentoring, or managing engineers.</p><p><br></p><p>A degree in Computer Science or equivalent hands-on experience.</p><p><br></p><p>A history of shipping and running production systems at scale.</p><p><br></p><p>&nbsp;</p><p><br></p><p>Nice to Have&nbsp;</p><p><br></p><p>Experience scaling high-traffic, high-availability applications.</p><p><br></p><p>Familiarity with another language or stack (Next.js, Go, or Python).</p><p><br></p><p>Experience with event-driven architecture and message brokers.</p><p><br></p><p>Infrastructure as code (Terraform) and container orchestration (Kubernetes).</p><p><br></p><p>Open-source work or an active engineering presence.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>STAGE - Ingénieur-e Simulation Numérique et Endommagement des Aubes Fan en Composite F/H</p><br><br><p>Stage</p><br><br><p>6 mois</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Vous souhaitez contribuer à la sécurité et à la robustesse des moteurs aéronautiques de nouvelle génération ?<br>Rejoignez les équipes de la Direction Support &amp; Services de Montereau-sur-le-Jard (77) et participez à des travaux de simulation à forte valeur technique sur les moteurs en service.<br>Au sein d'une unité de bureau d'études spécialisée dans le support des moteurs aéronautiques, vous intégrerez une équipe qui accueille chaque année des stagiaires et alternant-es sur des sujets innovants liés à la mécanique des structures et à la simulation numérique. Encadré-e par des ingénieur-es expérimenté-es, vous développerez vos compétences en turbomachines, en calcul par éléments finis, en dynamique rapide et en modélisation de l'endommagement des matériaux composites.<br>Votre mission :<br>Les pièces composites intégrées aux moteurs LEAP doivent démontrer leur capacité à résister à des événements extrêmes, notamment l'ingestion de corps étrangers tels que les oiseaux. La compréhension et la prédiction précise des endommagements observés lors de ces événements constituent un enjeu majeur pour la conception et l'amélioration continue des moteurs.<br>Dans ce contexte, votre stage aura pour objectif d'améliorer les méthodes de prédiction des endommagements observés à la suite d'événements d'ingestion par le biais de simulations numériques en dynamique rapide.<br>À ce titre, vous serez amené-e à :<br>- Prendre en main les études et développements réalisés lors des précédents travaux.<br>- Mettre en œuvre la stratégie de calcul définie par les équipes d'ingénierie.<br>- Réaliser des simulations numériques en dynamique rapide sous LS-DYNA à partir de modèles matériaux élastiques.<br>- Développer et évaluer des modèles intégrant des lois d'endommagement des matériaux composites.<br>- Comparer les résultats numériques aux données expérimentales issues d'essais moteur.<br>- Ajuster et améliorer les modèles afin d'obtenir une meilleure corrélation entre simulation et essais.<br>- Analyser les résultats obtenus et identifier les axes d'amélioration des méthodes de calcul.<br>- Présenter vos conclusions lors de revues techniques réunissant les spécialistes et experts du domaine.<br>- Capitaliser les modèles et méthodologies développés au sein des référentiels de calcul de l'entité.<br>Ce que ce stage va vous apporter :<br>- Une immersion dans l'univers des moteurs aéronautiques civils.<br>- Une expérience concrète sur des problématiques industrielles complexes liées à la sécurité des vols.<br>- Une montée en compétence sur les simulations en dynamique rapide et le logiciel LS-DYNA.<br>- Une meilleure compréhension du comportement et de l'endommagement des matériaux composites.<br>- Des interactions régulières avec des experts en calcul de structures, matériaux et certification moteur.<br>- L'opportunité de contribuer à l'amélioration des méthodes utilisées sur des programmes aéronautiques de premier plan.</p><br><br><p>N/A</p><br><br><p>Vous êtes en dernière année de cursus ingénieur généraliste (ou à dominante mécanique) et recherchez un stage de fin d'étude (5 à 6 mois) dans le secteur aéronautique.<br>Vous vous reconnaissez dans tout ou partie de ces points :<br>- Connaissances générales en mécanique (mécanique du solide, éléments finis…)<br>- Compétences de base sur logiciel CAO. Une connaissance de CATIA serait un plus<br>- Des connaissances du logiciel de pré-post traitement ANSYS/PATRAN/ABAQUS et des notions de codage (VBA ou Python) seront appréciées<br>Vous vous reconnaissez également dans ces différents points :<br>- Vous faites preuve de qualités relationnelles et de communication<br>- Vous êtes curieux·se, rigoureux·se, autonome et synthétique<br>N'attendez plus… Tentez votre chance !</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>STAGE - Data Scientist Computer Vision pour l'inspection endoscopique des moteurs aéronautiques F/H</p><br><br><p>Stage</p><br><br><p>6 mois</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Et si vous rejoigniez le vol à destination de Safran Aircraft Engines ? ✈<br>1. CONTEXTE DU POSTE<br>Au sein de Safran Aircraft Engines, la Direction Support et Services a pour mission d'assurer la satisfaction des clients et la profitabilité des activités. Elle compte ainsi une pluralité de métiers qui gèrent la relation client, le suivi du comportement des produits en service et l'élaboration d'actions correctives permettant d'optimiser le coût d'exploitation de plus de 20 000 moteurs.<br>Dans le cadre de la maintenance des moteurs aéronautiques, des inspections visuelles internes sont régulièrement réalisées à l'aide de systèmes endoscopiques. Ces inspections permettent d'observer des composants critiques tels que les aubes de turbine, les compresseurs ou encore les chambres de combustion afin d'identifier d'éventuelles indications comme des impacts, fissures, corrosion, etc... <br>L'analyse de ces vidéos est faite aujourd'hui par des inspecteurs. L'exploitation des avancées récentes en Computer Vision et en Deep Learning ouvre de nouvelles perspectives pour assister ces spécialistes dans la détection automatique et la qualification des indications observées. <br>Dans ce contexte, nous recherchons un.e stagiaire de fin d'études pour contribuer au développement d'algorithmes de vision par ordinateur appliqués à l'inspection des moteurs aéronautiques. <br>2. MISSIONS DU STAGE<br>L'objectif du stage est de développer et évaluer des solutions basées sur l'IA permettant : <br>- La détection automatique d'indications sur des images et vidéos d'inspection endoscopique. <br>- La localisation précise des zones d'intérêt sur les composants inspectés. <br>- La réduction du temps d'analyse des inspections par les experts. <br>- L'amélioration de la robustesse et de la répétabilité de la détection. <br>Selon l'avancement du projet, les travaux pourront également inclure : <br>- La classification des indications selon leur nature. <br>- Le suivi d'une indication au fil de la vidéo. <br>- L'estimation du niveau de sévérité des indications détectées. <br>Pourquoi ce stage ? <br>Impact réel : Vos travaux contribueront directement à l'optimisation des coûts de maintenance et à l'amélioration des performances de nos moteurs. <br>Technologie de pointe : Plongez dans l'univers fascinant de l'IA appliquée à l'industrie aéronautique. <br>Développement professionnel : <br>Développez des solutions IA appliquées à des problématiques critiques de l'industrie aéronautique. <br>Collaborez avec des experts métier, ingénieurs et intégrez une équipe de Data scientists. </p><br><br><p>Les principales composantes du stage sont : <br>- Concevoir et entraîner des modèles de Deep Learning pour la détection d'objets et d'anomalies. <br>- Évaluer différentes approches de Computer Vision : Object Detection, Segmentation, Vision Transformers, Anomaly Detection / Few-Shot Learning <br>- Mettre en œuvre des stratégies de traitement vidéo. <br>- Définir les métriques de performance adaptées au cas d'usage. <br>- Maîtrise du traitement de données de bout-en-bout : acheminement, pré-traitement, entraînement de modèles, visualisation des résultats <br>- Prototypage, développement et validation de solutions IA en contexte industriel</p><br><br><p>Vous êtes étudiant.e en dernière année d'école d'ingénieur ou en Master 2, avec une composante majeure en Data Science. <br>Compétences techniques <br>- Bonne connaissance du Machine Learning : théorie et pratique. <br>- Python : numpy, scipy, pandas, scikit-learn, visualisation de données (matplotlib, plotly, seaborn), jupyter notebooks. <br>- Deep Learning : maîtrise de PyTorch ou TensorFlow. <br>- Utilisation du Deep Learning en contexte professionnel, ou lors de projets scolaires/personnels approfondis. <br>Qualités recherchées <br>- Intérêt ou première expérience en analyse d'image. <br>- Esprit d'analyse, de synthèse, d'autonomie, de pro-activité. <br>- Goût pour le travail en équipe, curiosité. <br>- Intérêt pour les applications industrielles de l'IA, notamment dans le domaine de l'aéronautique. </p><br><br><br> </div>

<p>The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page. In the Sultanate of Oman, GGGI has partnered with the Government through the leadership of the Environment Authority (EA) to develop the "Accelerating Resilience and Innovation for Sustainable Ecosystems management" (ARISE) Program . The ARISE Program is a USD 100 million initiative spanning six years, designed to deliver climate action, ecosystem restoration, and economic growth through Nature-based Solutions (NbS) integrated into the Bioeconomy and Sustainable Special Economic Zones (SSEZs) . The program ultimately targets the restoration of 30,000 hectares of land, an estimated 750,000 tCO2e/year in greenhouse gas emission reductions, and the creation of over 1,000 green jobs. The implementation of the ARISE Program is structured around two phases. Phase 1 will cover 2 years, and Phase 2 will be over 4 years. The funding has been approved for Phase 1. POSITION SUMMARY Based in Salalah, in Dhofar Governorate, Oman, the MEL &amp; Data Officer plays a key role as the MEL focal point for the Oman ARISE Program. Reporting directly to the ARISE Program Lead, this position supports the on-the-ground delivery of the multi-year program s results framework. The Officer will work in close collaboration with the Regional MEL Senior Officer for the Middle East and North Africa (MENA) to implement GGGI s organizational-wide MEL framework at the program level. This role involves coordinating MEL implementation, data collection, analysis, and visualization, learning &amp; reporting following the comprehensive MEL plan for ARISE, including supporting baseline assessments such as Knowledge, Aptitude, and Practices (KAP) surveys and ecological data tracking. Additionally, the Officer will collaborate with the Program Implementation Unit (PIU) to create tailored MEL tools, assist in internal and external reporting, and contribute to the capacity of local partners and government stakeholders. PURPOSE • Coordinate the implementation and periodic review of MEL framework and MEL Plan specifically for the Oman ARISE Program, ensuring alignment with overall program objectives and GGGI s global MEL standards. • Support updates to the Theory of Change (TOC) and Detailed Implementation Plan (DIP) based on field validations and data collection. • Coordinate and execute formal baseline assessments including integrating GIS spatial data, GHG emission tracking, and socio-economic data within the first months of the inception phase. • Collaborate with the Program Lead and technical experts to design tailored mobile data collection tools and dashboards that effectively monitor and evaluate program outputs and outcomes. • Compile lessons learned and best practices to refine the program s adaptive management strategies. ENGAGEMENT • Collaborate with program team members to design, test, and implement tailored MEL and data collection tools that effectively monitor and evaluate community-level project activities. • Maintain close communication with the RO-MENA and collaborates closely with the Regional MEL Senior Officer (MENA) to ensure adherence and contribute to GGGI s Project/Program Cycle Management (PCM) guidelines and MEL methodologies. • Engage actively with key Omani government stakeholders, including the Environment Authority (EA), the National Centre for Statistics and Information (NCSI), and the Oman Zero Carbon Center, to align program MRV methodologies with national tracking systems and NDCs. • Partner with local academic institutions, primarily the Dhofar University Biodiversity Research Center (BRC), to execute randomized field surveys, focus group discussions, and ecological data triangulation. DELIVERY • Coordinate and support mixed-methods baseline assessments, including large-scale KAP surveys targeting Dhofar communities, ensuring high-quality data collection following statistically valid random sampling frameworks.&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><p>Master's degree or equivalent in economics, statistics, data science, environmental science, development studies, or a related field.</p><p>A minimum of 5 years of professional experience in monitoring and evaluation, data analysis, and program development for large-scale international development or climate finance projects.</p><p>Demonstrated expertise in quantitative and qualitative data analysis software (e.g., R, Python, MAXQDA) and advanced Microsoft Excel (VBA).</p><p>Proven experience utilizing mobile data collection platforms (Kobo Toolbox, Ona, etc.) and developing user-friendly digital survey forms.</p><p>Exceptional analytical, writing, and presentation skills in English are required.</p><p>Fluency in Arabic is an asset for this role and is highly desirable.</p><p>Strong written and verbal communication skills in English; ability to draft high-quality MEL frameworks, evaluation reports, and technical documents.</p><p>Strong project management and coordination skills, including experience working with governments (e.g., Environment Authority), development partners, and technical experts.</p><p>Ability to interpret technical analysis, GIS mapping, and GHG modeling outputs and translate them into actionable MEL insights and policy-level reporting.</p><p>Strong background in developing complex logframes and impact tracking mechanisms, particularly for climate change, agriculture, or Nature-based Solutions (NbS).</p><p>Ability to coordinate consultants, enumerators, and data collection activities across multiple stakeholders without direct line management authority.</p><p>Strong organizational skills and attention to detail, with the ability to manage competing priorities and meet deadlines in a time-sensitive environment.</p><p>Solutions-oriented and collaborative approach to problem solving in a multi-stakeholder setting.</p><p>Understand and actively support GGGI's mission, vision and values.</p><p>Promote an organizational culture of trust, transparency, respect and partnership.</p><p>Excel at problem solving, ask questions and seek support when needed, share easily information and knowledge with others both internally as externally.</p><p>Manage emotions and stress positively, build rapport and resolves conflict easily.</p><p>Strong ability to work independently and/or remotely, while maintaining productivity.</p>

<p>Job Purpose: The Manager Human Capital Intelligence leads the development of Human Capital s workforce intelligence capability, transforming governed people data into forward-looking insights that improve workforce, talent, reward, productivity and employee-experience decisions. The role owns the HC intelligence roadmap, analytical standards, HR technology optimisation and responsible use of artificial intelligence, enabling Human Capital and business leaders to make evidence-based decisions aligned with the Bank s strategy, risk appetite and smart-bank ambition. The Manager HC Intelligence acts as Human Capital s accountable business owner and subject-matter partner for workforce data, analytics and AI initiatives. In partnership with the Enterprise AI Unit and relevant control functions, the role defines business requirements, confirms data readiness, supports model validation and adoption, monitors realised benefits and maintains clear accountability for HC decisions arising from analytical or AI-enabled outputs. Key Accountabilities: Develops and executes a prioritised HC Intelligence roadmap aligned with the HC strategy and the Bank s smart-bank ambition, with clear outcomes, milestones, ownership, dependencies, investment needs, adoption measures and realised benefits. Maintains the governed workforce data model and authoritative HC information source, ensuring analytics, dashboards, models and AI use cases meet approved privacy, security, records, ethical and model-governance requirements through defined metrics, lineage, ownership, stewardship, validation, reconciliation, access, change approval and proportionate quality and model-risk controls. Develops and maintains workforce analytics, BI dashboards, scorecards and executive reports covering workforce profile, movement, capacity, talent, learning, succession, engagement, recruitment, mobility, benefits and employee services. Provides evidence-based insights, trends, scenarios and recommendations to the Chief Human Capital Officer and relevant governance forums, clearly distinguishing facts, forecasts, assumptions and limitations. Supports workforce planning with demand and supply analysis, capability gaps, staffing scenarios, productivity indicators and workforce cost projections in partnership with HC Units and business stakeholders. Builds transparent, auditable compensation and benefits models for salary reviews, pay fairness, market benchmarking, promotion and allowance scenarios, benefits optimisation and workforce-cost decisions, aligned with approved reward policy and governance. Improves HRMS adoption, utilisation, data completeness, controls and transaction quality by identifying root causes and coordinating system, process, training and change interventions with HC process owners, Technology and providers. Partners with HC Units and manages relationships with data owners, Technology, Enterprise AI Unit, Finance, Risk, Strategy &amp; Data teams, and external providers to define reporting needs, automate recurring analysis and embed data-driven decisions in HC processes and governance. Manages HC AI and automation use cases from ethical screening and data readiness through requirements, validation, implementation and adoption, coordinating with relevant technical and control functions to ensure human oversight, explainability, monitoring and escalation, and measuring realised value against agreed baselines, benefits measures and post-implementation reviews. Conducts diagnostic, predictive and, where appropriate, prescriptive workforce analysis to identify workforce risks, service bottlenecks, capability requirements and opportunities to improve employee experience and organisational effectiveness, converting findings into prioritised recommendations with clear owners, expected impact and success measures, and monitors agreed actions through relevant HC and management governance forums. Builds data literacy across Human Capital by developing guidance, standard reports and practical capability-building interventions for HC colleagues and relevant managers.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications and Experience: Bachelor's degree in Human Resources, Data Analytics, Artificial Intelligence, Information Systems, Finance or a related discipline. A Master's degree is preferred. Professional certification in People Analytics, Data Analytics, Business Intelligence, HR Systems, Compensation, or Artificial Intelligence is preferred. Minimum of 7 years of progressive experience in people analytics, workforce planning, business intelligence, HR technology, reward analytics or data-led Human Capital transformation, including responsibility for complex analytical initiatives and engagement with senior decision-makers. Experience in banking, financial services or another regulated environment is preferred. Demonstrated proficiency in advanced Excel and at least one enterprise business-intelligence platform, such as Power BI, with practical capability in data modelling, dashboard design and reporting automation. Working knowledge of SQL and statistical or analytical tools such as Python is preferred. Proven experience managing HRMS data, data-quality controls, reporting automation and user-adoption improvement, together with practical experience developing compensation scenarios, workforce-cost models or other quantitative decision-support models, is highly preferred. Excellent written and spoken English and Arabic, with the ability to present analytical findings, governance matters and recommendations clearly to executive, technical and non-technical audiences.</p>

<p><b>Job Purpose:&nbsp;</b></p><p><br></p><p>The Manager Human Capital Intelligence leads the development of Human Capital s workforce intelligence capability, transforming governed people data into forward-looking insights that improve workforce, talent, reward, productivity and employee-experience decisions. The role owns the HC intelligence roadmap, analytical standards, HR technology optimisation and responsible use of artificial intelligence, enabling Human Capital and business leaders to make evidence-based decisions aligned with the Bank s strategy, risk appetite and smart-bank ambition.The Manager HC Intelligence acts as Human Capital s accountable business owner and subject-matter partner for workforce data, analytics and AI initiatives. In partnership with the Enterprise AI Unit and relevant control functions, the role defines business requirements, confirms data readiness, supports model validation and adoption, monitors realised benefits and maintains clear accountability for HC decisions arising from analytical or AI-enabled outputs. Key Accountabilities: Develops and executes a prioritised HC Intelligence roadmap aligned with the HC strategy and the Bank s smart-bank ambition, with clear outcomes, milestones, ownership, dependencies, investment needs, adoption measures and realised benefits. Maintains the governed workforce data model and authoritative HC information source, ensuring analytics, dashboards, models and AI use cases meet approved privacy, security, records, ethical and model-governance requirements through defined metrics, lineage, ownership, stewardship, validation, reconciliation, access, change approval and proportionate quality and model-risk controls. Develops and maintains workforce analytics, BI dashboards, scorecards and executive reports covering workforce profile, movement, capacity, talent, learning, succession, engagement, recruitment, mobility, benefits and employee services. Provides evidence-based insights, trends, scenarios and recommendations to the Chief Human Capital Officer and relevant governance forums, clearly distinguishing facts, forecasts, assumptions and limitations. Supports workforce planning with demand and supply analysis, capability gaps, staffing scenarios, productivity indicators and workforce cost projections in partnership with HC Units and business stakeholders. Builds transparent, auditable compensation and benefits models for salary reviews, pay fairness, market benchmarking, promotion and allowance scenarios, benefits optimisation and workforce-cost decisions, aligned with approved reward policy and governance. Improves HRMS adoption, utilisation, data completeness, controls and transaction quality by identifying root causes and coordinating system, process, training and change interventions with HC process owners, Technology and providers. Partners with HC Units and manages relationships with data owners, Technology, Enterprise AI Unit, Finance, Risk, Strategy &amp; Data teams, and external providers to define reporting needs, automate recurring analysis and embed data-driven decisions in HC processes and governance. Manages HC AI and automation use cases from ethical screening and data readiness through requirements, validation, implementation and adoption, coordinating with relevant technical and control functions to ensure human oversight, explainability, monitoring and escalation, and measuring realised value against agreed baselines, benefits measures and post-implementation reviews. Conducts diagnostic, predictive and, where appropriate, prescriptive workforce analysis to identify workforce risks, service bottlenecks, capability requirements and opportunities to improve employee experience and organisational effectiveness, converting findings into prioritised recommendations with clear owners, expected impact and success measures, and monitors agreed actions through relevant HC and management governance forums. Builds data literacy across Human Capital by developing guidance, standard reports and practical capability-building interventions for HC colleagues and relevant managers.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications and Experience: Bachelor's degree in Human Resources, Data Analytics, Artificial Intelligence, Information Systems, Finance or a related discipline. A Master's degree is preferred. Professional certification in People Analytics, Data Analytics, Business Intelligence, HR Systems, Compensation, or Artificial Intelligence is preferred. Minimum of 7 years of progressive experience in people analytics, workforce planning, business intelligence, HR technology, reward analytics or data-led Human Capital transformation, including responsibility for complex analytical initiatives and engagement with senior decision-makers. Experience in banking, financial services or another regulated environment is preferred. Demonstrated proficiency in advanced Excel and at least one enterprise business-intelligence platform, such as Power BI, with practical capability in data modelling, dashboard design and reporting automation. Working knowledge of SQL and statistical or analytical tools such as Python is preferred. Proven experience managing HRMS data, data-quality controls, reporting automation and user-adoption improvement, together with practical experience developing compensation scenarios, workforce-cost models or other quantitative decision-support models, is highly preferred. Excellent written and spoken English and Arabic, with the ability to present analytical findings, governance matters and recommendations clearly to executive, technical and non-technical audiences.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.<br>ai/) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Bot Developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.<br> Key Responsibilities Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.<br> Design and implement conversational flows, dialogue state, and fallback handling.<br> Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.<br> Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).<br> Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).<br> Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.<br> Implement logging, monitoring, and recovery so bots stay healthy in production.<br> Requirements and benefits Educational qualifications At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.<br> We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.<br> Strong problem-solving skills, attention to detail, and the ability to work independently are essential.<br> Technical Skills (Essential) At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.<br>js for backend bot logic.<br> Solid experience with REST APIs, webhooks, OAuth, and async request handling.<br> Experience with relational or NoSQL databases for storing conversation state and user data.<br> Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.<br> Understanding of platform-specific limits, message templates, and approval flows (e.<br>g., WhatsApp template messages).<br> Experience with hosting and deployment (Docker, serverless, VPS, or PaaS) Additional requirements Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.<br> Self-directed work ethic with the ability to design and ship complete bots independently.<br> Portfolio or examples of bots you've built (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Ingénieur-e en conception mécanique F/H </p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p> Passionné(e) d'aviation, d'espace ou encore par les technologies de défense ? Plus<br>spécifiquement vous avez toujours eu la fibre pour la mécanique et le dessin industriel ?<br>Vous avez suivi les 1ers vols d'Ariane 6 ou encore de l'A350, allez au Salon du Bourget ou<br>à des meetings guetter le RAFALE, l'A400M ou encore le Tigre ?<br>Rejoignez-nous !<br>Safran est un groupe international de haute technologie opérant dans les domaines de<br>l'aéronautique (propulsion, équipements et intérieurs), de l'espace et de la défense. Le Groupe emploie 110 000 collaborateurs à travers le monde pour un chiffre d'affaires de 31,3 milliards d'euros en 2025.<br>Equipementier du Groupe, Safran Electronics &amp; Defense est une entreprise internationale de<br>plus de 19 000 collaboratrices et collaborateurs, tous mobilisés pour concevoir des solutions de haute technologie dans les domaines de l'aéronautique, de la défense et du spatial. En combinant intelligence humaine et technologique, nous développons des produits et services pour les acteurs du monde civil et militaires, sur terre, en mer, dans le ciel et dans l'espace, et<br>pouvons mettre en avant nos positions de leaders :<br>N°1 Européen des systèmes de Drônes tactiques.<br>N°1 mondial des optiques spatiales et astronomiques de haute performance.<br>N°1 Européen des systèmes de navigation inertielle.<br>Votre mission :<br>Vous intégrez la Direction Ingénierie Navigation, et plus particulièrement l'Unité d'Ingénierie<br>Mécanique Navigation en qualité d'ingénieur conception mécanique.<br>Vous prenez en charge les développements mécaniques de produits de hautes technologie, et plus particulièrement vous :<br>- Pilotez les études de faisabilité 3D,<br>- Pilotez la réalisation de l'architecture préliminaire et détaillée,<br>- Réalisez le dimensionnement mécanique, et la réalisation de maquettages physiques afin de vérifier et finaliser la conception,<br>- Validez les choix techniques et assurez la conformité des livrables (maquettes 3D, plans, dossier de définition/nomenclature), en cohérence avec l'industrialisation et la qualité,<br>- Préparez et réalisez les essais de validation mécanique et thermique,<br>- Etes en interface avec les projets et les autres Métiers,<br>- Vous assurez de la tenue du planning et des coûts,<br>- Capitalisez sur le projet et les processus afin de contribuer à notre amélioration continue.</p><br><br><p>Notre site à Eragny bénéficie d'infrastructures contribuant fortement à la qualité de vie permettant à nos collaborateurs de concilier activités professionnelles et sportives, une conciergerie, des espaces sécurisés pour le stationnement des vélos, des bornes de recharge pour les véhicules électriques...<br>Et bien d'autres avantages : primes d'intéressement et de participation, télétravail (pour les activités éligibles) avec versement de tickets restaurant...</p><br><br><p>- Formation dans l'ingénierie mécanique (ou équivalent Bac+5).<br>- Expérience : 8 minimum en conception mécanique dans un environnement industriel exigeant (aéronautique, défense, spatial, automobile...).<br>- Compétences techniques :<br> * Maîtrise des outils CATIA V5 et 3DEXPERIENCE<br> * Analyse éléments finis (ANSYS Workbench, ou CATIA V5)<br> * Solides connaissances en conception de pièces et ensembles mécaniques (usinage, fonderie, fabrication additive, tolérancement ISO/GPS, matériaux et traitement de surface), et en dimensionnement mécanique.<br>- Aptitudes comportementales : leadership, sens du collectif, à l'écoute, vous faites preuve de créativité et de curiosité.<br>Vous maîtrisez par ailleurs parfaitement les outils bureautique.<br>Des connaissances en Python seraient un plus.</p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis for AI initiatives. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all Al projects.</p><p>Key Responsibilities:</p><ul><li>Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems</li><li>Collaborates with AI developers, data scientists and analysts to optimize models and algorithms for data quality, security, and governance</li><li>Integrates data from different sources, including databases, data warehouses, APIs, and external systems</li><li>Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed</li><li>Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques</li><li>Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency</li><li>Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance</li><li>Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data</li><li>Supports the governance of data and algorithms used for analysis, analytical applications, and automated decision making</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred</li><li>At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks</li><li>Proven project experience developing and maintaining data pipelines for AI projects</li></ul><p>Technical Skills:</p><ul><li>Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines</li><li>Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and Bl</li><li>Strong ability in programming languages such as Java, Python, and C/C++</li><li>Ability in data science languages/tools such as SQL, R, SAS, or Excel</li><li>Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)</li><li>Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata</li><li>Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products</li><li>Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems</li></ul><p>Key Competencies:</p><ul><li>Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.</li><li>Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options</li><li>Ability to translate among the languages used by executive, business, IT, and quant stakeholders.</li></ul><p></p></section>

<p><br></p><p>Job Title: Motor Underwriting Analyst</p><p>Department Underwriting &amp; Reinsurance</p><p><br></p><p>&nbsp;Reporting To Head of Underwriting</p><p><br></p><p>Role Purpose</p><p><br></p><p>The Motor Pricing &amp; Portfolio Actuary is responsible for driving pricing excellence, portfolio profitability, actuarial analytics, and underwriting discipline across the Motor and Retail P&amp;C portfolios.</p><p><br></p><p>The role serves as the organization's strategic actuarial and risk management for Motor business, P&amp;C retails business combining advanced pricing techniques, portfolio diagnostics, profitability management, reserving oversight, and strategic business insights to support sustainable growth and improved shareholder returns. The candidate will provide independent actuarial intelligence to management by identifying emerging risks, recommending pricing and underwriting actions, challenging reserve assumptions, optimizing portfolio mix, and supporting data-driven decision making across the business.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Motor Pricing &amp; Rate Adequacy</p><p><br></p><p>Lead periodic Motor tariff and pricing adequacy reviews.</p><p><br></p><p>Develop and maintain risk-based pricing frameworks.</p><p><br></p><p>Design and enhance pricing models using actuarial and statistical methodologies.</p><p><br></p><p>Recommend pricing actions based on profitability, competitive positioning, and market dynamics.</p><p><br></p><p>Monitor pricing effectiveness and post-implementation performance.</p><p><br></p><p>Establish discount governance frameworks and underwriting controls.</p><p><br></p><p>Support implementation and refinement of GLM and predictive pricing models.</p><p><br></p><p>Evaluate the impact of inflation, repair costs, spare parts costs, claim severity trends, and regulatory changes on pricing adequacy.</p><p><br></p><p>Assess profitability by Customer segment, Vehicle type, Geography, Distribution channel, sum insured / IDV bands, Driver’s bands,</p><p><br></p><p>Identify underperforming segments and recommend corrective actions.</p><p><br></p><p>&nbsp;</p><p><br></p><p>2. Portfolio Diagnostics &amp; Performance Management</p><p><br></p><p>Develop and maintain advanced portfolio dashboards and management information systems.</p><p><br></p><p>Monitor: Loss Ratio, Combined Ratio, Frequency, Severity, Retention, Renewal &amp; new business rates, Rate change adequacy, Portfolio mix, Channel profitability</p><p><br></p><p>Conduct deep-dive portfolio reviews at: Product level, Segment level, Geographic level, Distribution level, Customer level</p><p><br></p><p>Identify early warning indicators and emerging adverse trends.</p><p><br></p><p>Perform: Cohort analysis, Vintage analysis, Loss development monitoring, Profit leakage analysis</p><p><br></p><p>Benchmark company performance against market and competitors.</p><p><br></p><p>Strategic Interventions such as Pricing changes, Product redesign, Channel optimization, Underwriting rule enhancements, Portfolio rebalancing initiatives</p><p><br></p><p>&nbsp;</p><p><br></p><p>3. Actuarial Modelling &amp; Predictive Analytics</p><p><br></p><p>Develop predictive models to improve risk selection and pricing accuracy.</p><p><br></p><p>Utilize GLM, machine learning, and advanced statistical techniques where appropriate.</p><p><br></p><p>Analyze customer behavior and retention patterns.</p><p><br></p><p>Build actuarial tools for Pricing simulations, Scenario testing, Business forecasting, Sensitivity analysis</p><p><br></p><p>Evaluate new rating factors and data sources including telematics and behavioral data.</p><p><br></p><p>&nbsp;</p><p><br></p><p>4. Reserving Oversight &amp; Actuarial Controls</p><p><br></p><p>Independently review and challenge reserve assumptions applied by the Appointed Actuary.</p><p><br></p><p>Analyze IBNR, IBNER, PDR, Large loss loadings, Catastrophe reserves</p><p><br></p><p>Perform reserve adequacy studies and back-testing exercises.</p><p><br></p><p>Conduct claims development analyses and triangulations.</p><p><br></p><p>Ensure portfolio trends are reflected in actuarial reserving assumptions.</p><p><br></p><p>Support governance discussions relating to reserve adequacy and capital implications.</p><p><br></p><p>&nbsp;</p><p><br></p><p>5. Product Development &amp; Innovation</p><p><br></p><p>Support development of new Motor and Retail insurance products.</p><p><br></p><p>Conduct product profitability assessments.</p><p><br></p><p>Review pricing implications of product enhancements and policy changes.</p><p><br></p><p>Evaluate emerging insurance opportunities and niche customer segments.</p><p><br></p><p>Assist in development of digital and telematics-driven insurance solutions.</p><p><br></p><p>&nbsp;</p><p><br></p><p>6. Management Information &amp; Board Reporting</p><p><br></p><p>Develop actuarial insights for CEO, Head of Underwriting, CFO, Executive Committee, Underwriting Committees</p><p><br></p><p>Translate complex actuarial findings into business-friendly recommendations.</p><p><br></p><p>Prepare dashboard highlighting Portfolio performance, Pricing adequacy, Reserve adequacy, Profitability drivers, Strategic risks, Corrective action plans</p><p><br></p><p>&nbsp;</p><p><br></p><p>7. Systems, Data &amp; Analytics Enablement</p><p><br></p><p>Work closely with IT and Digital teams to improve data quality and data architecture.</p><p><br></p><p>Define actuarial data requirements and governance standards.</p><p><br></p><p>Lead portfolio MIS automation initiatives.</p><p><br></p><p>Develop actuarial dashboards and pricing tools.</p><p><br></p><p>Enhance availability and reliability of underwriting and claims data.</p><p><br></p><p>Support implementation of business intelligence and analytics solutions.</p><p><br></p><p>&nbsp;</p><p><br></p><p>8. Cross-Functional Business Partnership</p><p><br></p><p>Partner with Underwriting, Claims, Finance, Reinsurance, Distribution, Risk Management, and Product teams.</p><p><br></p><p>Provide actuarial insights supporting strategic decision-making.</p><p><br></p><p>Influence underwriting and distribution strategies using data-driven recommendations.</p><p><br></p><p>Support major account reviews and profitability assessments.</p><p><br></p><p>Become the trusted actuarial advisor to Motor business leadership.</p><p><br></p><p>&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><p style="font-size: 11px;">Requirements:</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Educational Qualifications Bachelor’s degree in Statistics, Actuarial science, Mathematics, Economics, Engineering, Data Science or related quantitative discipline.</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Experience Requirements 5+ years of actuarial experience in General Insurance especially 4+ years in Motor pricing, reserving, or portfolio analytics. Experience in pricing model development and portfolio profitability management. Strong understanding of Motor insurance business dynamics.</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Preferred Work Experience in GCC / MENA market experience, Exposure to retail Motor and Personal Lines portfolios.</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Skills:</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Technical Skills: GLM Pricing Models, Predictive Analytics, Reserving Techniques, Claims Development Analysis, Portfolio Optimization, Statistical Modelling, Scenario Testing</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Systems &amp; Tools: Advanced Excel, SQL, Power BI, Python etc</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Behavioral: Strategic thinker, Analytical &amp; investigative mindset, apply strong professional judgement, Results driven with strong ownership mentality, Collaborative leadership style, Decent business acumen.</p><p style="font-size: 11px;"><br></p>

<p>1. JOB DETAILS Position Title: Administrator to the Deputy Vice-Chancellor for Academic Affairs, Research and Innovation (DVCAARI) Reports to: Deputy Vice-Chancellor for Academic Affairs, Research and Innovation (DVCAARI) Department: Office of the Deputy Vice-Chancellor for Academic Affairs, Research and Innovation 2. JOB PURPOSE The Administrator to the Deputy Vice-Chancellor for Academic Affairs, Research and Innovation (DVCAARI) provides high-level administrative, analytical, and operational support to the DVCAARI. The role manages the DVCAARI's correspondence and engagement with the Ministry of Education and other external stakeholders, leads data analysis and report-writing activities, and ensures the efficient coordination of the Academic Affairs, Research and Innovation Office. The position serves as a trusted liaison between the DVCAARI, senior management, faculty staff, and government bodies, exercising personal responsibility and delivering results with minimal supervision. 3. KEY ACCOUNTABILITIES A. Data Analysis &amp; Report Writing Collect, analyse, assess, and synthesize quantitative and qualitative data to support strategic decision-making and operational planning. Prepare comprehensive analytical reports, briefing papers, and executive summaries on academic affairs, research performance, innovation metrics, and institutional benchmarks. Develop data visualizations, dashboards, and statistical summaries to communicate findings effectively to senior leadership and external bodies. Monitor key performance indicators (KPIs) and produce regular management reports tracking progress against institutional objectives. Draft and edit high-quality correspondence, position papers, policy briefs, and submissions requiring analytical rigour and evidence-based recommendations. B. Ministry of Education &amp; External Stakeholder Liaison Manage official correspondence between the university senior management and the Ministry of Education, ensuring timely, accurate, and policy-compliant communication. Coordinate the preparation and submission of documentation, reports, and data returns required by the Ministry and other regulatory bodies. Track ministry directives, circulars, and policy updates; brief the DVCAARI on implications and coordinate institutional responses. Maintain a structured record of all external correspondence, submissions, and engagement activities for audit and compliance purposes. C. Executive Support &amp; Office Management Serve as the primary contact for staff supporting the DVCAARI; supervise daily office operations and administrative workflows. Manage the DVCAARI's calendar, prioritize appointments, and schedule meetings with internal and external stakeholders. Prepare detailed briefing materials, agendas, and pre-reads for meetings, committees, and executive engagements. Attend meetings, record accurate minutes, and follow up on action items and decisions made by the DVCAARI. Handle confidential files and records in accordance with institutional policies and data protection requirements. Manage inquiries, complaints, and concerns from callers and visitors; resolve or escalate complex issues appropriately. D. Event, Project &amp; Financial Coordination Plan and coordinate conferences, seminars, workshops, and official events on behalf of the DVCAARI. Participate in the development of projects, work methods, and procedures; recommend procedural changes and resource requirements to improve unit efficiency. Estimate time, resources, and budgets for activities, events, and projects; create financial projections and monitor expenditure against approved accounts. Follow up on decisions made by the DVCAARI and resolve complex operational problems proactively. E. Information &amp; Communication Management Maintain and update spreadsheets, databases as directed. Prepare, format, edit, and proofread documents, reports, minutes, and official correspondence. Establish and maintain efficient electronic and physical filing systems. Prepare and distribute documents; handle mail, courier shipments, and other communications. Order and manage office supplies and maintain an efficient working environment. G. Additional Responsibilities Respond to inquiries and provide accurate information on policies and procedures to internal and external stakeholders. Perform any other duties as deemed necessary by the DVCAARI.</p><p><strong>Desired Candidate Profile</strong></p><p>Education Master's degree in a relevant field (e.g., Statistics, Data Science, Social Sciences, or a related discipline). A Bachelor's degree with exceptionally strong analytical and report-writing experience may be considered in lieu of a Master's degree. Experience Minimum of 3 years of relevant work experience in executive support, policy analysis, institutional research, or a related field. Demonstrated experience in data analysis, statistical reporting, and producing evidence-based documents for senior leadership. Prior experience liaising with government ministries, regulatory agencies, or external stakeholders is highly desirable. Experience in academic or research administration within a university setting is an advantage. Technical Skills Advanced proficiency in Microsoft Office (Word, Excel, PowerPoint), with strong skills in Excel for data analysis, pivot tables, and charting. Experience with data analysis tools or statistical software (e.g., SPSS, R, Python, Tableau, or Power BI) is an advantage. Proficiency in database management and digital collaboration platforms. Strong report-writing, policy-drafting, and editorial skills with meticulous attention to accuracy and tone. Core Competencies Exceptional analytical and critical-thinking skills with the ability to translate complex data into actionable insights and clear narratives. Outstanding written and verbal communication skills in both Arabic and English. High level of discretion, integrity, and professionalism in handling sensitive and confidential information. Strong organizational and time-management skills with the ability to manage multiple priorities and deadlines concurrently. Proactive problem-solving ability and sound judgment in resolving complex issues independently. Collaborative mindset with the ability to engage effectively across all levels of the institution and with external partners. Language Excellent command of both Arabic and English (spoken and written) is essential.</p>

<p>1. Purpose of the Position This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes. Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:<br>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).<br>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.<br>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.<br>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.<br>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.<br>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.<br>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p> <ul> <li>Key Responsibilities Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</li> <li>Ensure all necessary content and material is in place for the degree programmes in time.</li> <li>Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</li> <li>Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</li> <li>Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</li> <li>Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</li> <li>Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</li> <li>Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</li> <li>Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</li> <li>Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</li> <li>Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</li> <li>Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</li> <li>Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</li> <li>Work with the Faculty Dean and other University representatives to ensure student attainment, success and progression by monitoring student attendance and performance, and obtaining student feedback.</li> </ul> <p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University. Any other duties as deemed necessary by the Line Manager.<br>While we value the interest shown by every applicant, we are able to respond only to short-listed candidates.<br></p><p><strong>Desired Candidate Profile</strong></p><p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p> <p>Qualifications, Experience &amp; Competencies: The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:<br>Educational Qualifications: A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.<br>Specialization Areas: Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.<br>Teaching Experience: Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.<br>Research Engagement: Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.<br>Industry Experience: Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.<br>Practical Skills: Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.<br>Professional Development: Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.<br>Community Participation: Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</p> <p>Priority in recruitment shall be given to Omani Candidates.</p>