Python Developer Jobs in Oman

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Ingénieur-e Développement FPGA - Systèmes Autodirecteurs &amp; Missiles de Nouvelle Génération 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) par l'innovation et l'électronique embarquée ? Devenez acteur des développements FPGA au cœur de la défense de demain et contribuez directement à notre souveraineté technologique.<br>Vous concevrez des équipements optroniques à très fort impact : systèmes de guidage infrarouge/laser (autodirecteurs de missiles) et vision de nouvelle génération pour drones.<br>De l'architecture amont jusqu'à l'intégration finale sur carte, vous serez responsable de l'implémentation d'algorithmes de traitement d'images (conventionnels et par réseaux de neurones) avec une totale appropriation de votre travail grâce à une approche de conception de « bout en bout » au sein d'une équipe technique passionnée.<br>Notre dynamique d'innovation, illustrée par des réalisations telles que l'implémentation de réseaux de neurones sur FPGA, le traitement vidéo infrarouge ultra-basse latence, ou encore la cybersécurité embarquée sur-mesure, fait de nous un référent du secteur.<br>Dans cet environnement critique où l'exigence de haute fiabilité rencontre le pragmatisme du juste besoin, vos missions seront les suivantes :<br>• Conception RTL : Développer et coder des architectures FPGA robustes en langages Verilog et SystemVerilog.<br>• Expertise technique : Analyser et résoudre des problématiques complexes, avec un accent particulier sur la tenue des timings et les passages de domaines d'horloge.<br>• Validation : Mettre en œuvre les phases de vérification physique et virtuelle en s'appuyant sur des outils de référence tels que Vivado et QuestaSim.<br>• Qualité et méthode : Assurer une rigueur documentaire exemplaire à chaque étape du cycle en V, indispensable pour garantir la sécurité de nos systèmes.<br>• Co-Design et Synergie Système : Travailler en étroite collaboration avec les architectes électronique, les algorithmiciens, et les équipes logiciel ; challenger les concepts pour proposer des stratégies d'implémentation optimisées pour les contraintes de nos produits embarqués.</p><br><br><p>Le site d'Éragny, récemment rénové, offre des infrastructures favorisant la qualité de vie au travail :<br>• Accès facilité : À 30 min de Paris, accessible en transports en commun (~50 min depuis Paris Saint-Lazare).<br>• Qualité de vie et services : Vous pourrez accéder à nos espaces de convivialité et de créativité pour vos brainstormings, ainsi qu'à des services comme la conciergerie.<br>• Sport et nature : Aux portes du Parc naturel régional du Vexin français, près de l'Oise et de l'île de loisirs de Cergy, le cadre offre de nombreuses possibilités pour vous aérer. Le site dispose aussi de vestiaires équipés, avec des infrastructures sportives à proximité.<br>Flexibilité et conditions de travail : Possibilité de bénéficier de 2 jours de télétravail par semaine.<br>Rémunération : Attractive selon votre profil, complétée par un package avantageux : intéressement et participation élevés, comité d'entreprise très actif, mutuelles et prévoyances performantes.<br>Ce poste nécessitant l'accès à des informations relevant du secret de la défense nationale, le/la candidat-e retenu-e fera l'objet d'une habilitation.<br>Chez Safran, nous valorisons la montée en compétence de nos collaborateurs. Grâce à un accompagnement dédié, pour évoluer au sein des plus de 400 métiers du groupe via nos parcours de mobilité interne, en France comme à l'international.<br>Un plan de formation individualisé vous permettra de construire votre trajectoire au sein du groupe. Rejoignez-nous !</p><br><br><p>Diplômé(e) d'une École d'ingénieurs ou d'un Master universitaire (Bac +5), vous justifiez d'une première expérience réussie (1 à 3 ans) en développement FPGA et vous avez la volonté de relever des défis techniques dans un secteur de très haute technologie.<br>Ce que nous recherchons chez vous :<br>• Un bagage technique solide : Le RTL, Verilog/SystemVerilog, Vivado et QuestaSim sont des environnements dans lesquels vous êtes (ou voulez devenir rapidement) expert(e).<br>• Un mindset de « Problem Solver » : Curieux(se), autonome et proactif(ve), vous aimez chercher des solutions innovantes face à des problèmes complexes.<br>• Un vrai esprit d'équipe : Chez nous, la communication est aussi importante que la technique. Vous savez écouter, partager vos idées clairement et travailler en synergie avec les autres métiers.<br>• Le sens de la rigueur : Vous avez conscience qu'une bonne documentation vaut autant qu'un bon design de puce.<br>• Le gros "plus" : Une appétence pour l'automatisation (Python, Makefile) et une première pratique des outils de travail collaboratif (Gitlab, Jira) vous permettront d'être rapidement à l'aise dans notre environnement.</p><br><br><br> </div>

<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 for real-world applications.<br> In this role, you'll use your bot engineering expertise, conversational design skills, and quality-focused approach to build reliable, useful bots and messaging integrations that deliver a great user experience.<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 innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<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 for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, 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 one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack 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> Review, debug, optimize, and refactor bot implementations to improve correctness, reliability, maintainability, 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 build stable, user-friendly bot 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 at least one 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) 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> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<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 Développement FPGA - Systèmes Autodirecteurs &amp; Missiles de Nouvelle Génération F/H 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) par l'innovation et l'électronique embarquée ? Devenez acteur des développements FPGA au cœur de la défense de demain et contribuez directement à notre souveraineté technologique.<br>Vous concevrez des équipements optroniques à très fort impact : systèmes de guidage infrarouge/laser (autodirecteurs de missiles) et vision de nouvelle génération pour drones.<br>De l'architecture amont jusqu'à l'intégration finale sur carte, vous serez responsable de l'implémentation d'algorithmes de traitement d'images (conventionnels et par réseaux de neurones) avec une totale appropriation de votre travail grâce à une approche de conception de « bout en bout » au sein d'une équipe technique passionnée.<br>Notre dynamique d'innovation, illustrée par des réalisations telles que l'implémentation de réseaux de neurones sur FPGA, le traitement vidéo infrarouge ultra-basse latence, ou encore la cybersécurité embarquée sur-mesure, fait de nous un référent du secteur.<br>Dans cet environnement critique où l'exigence de haute fiabilité rencontre le pragmatisme du juste besoin, vos missions seront les suivantes :<br>• Conception RTL : Développer et coder des architectures FPGA robustes en langages Verilog et SystemVerilog.<br>• Expertise technique : Analyser et résoudre des problématiques complexes, avec un accent particulier sur la tenue des timings et les passages de domaines d'horloge.<br>• Validation : Mettre en œuvre les phases de vérification physique et virtuelle en s'appuyant sur des outils de référence tels que Vivado et QuestaSim.<br>• Qualité et méthode : Assurer une rigueur documentaire exemplaire à chaque étape du cycle en V, indispensable pour garantir la sécurité de nos systèmes.<br>• Co-Design et Synergie Système : Travailler en étroite collaboration avec les architectes électronique, les algorithmiciens, et les équipes logiciel ; challenger les concepts pour proposer des stratégies d'implémentation optimisées pour les contraintes de nos produits embarqués.</p><br><br><p>Le site d'Éragny, récemment rénové, offre des infrastructures favorisant la qualité de vie au travail :<br>• Accès facilité : À 30 min de Paris, accessible en transports en commun (~50 min depuis Paris Saint-Lazare).<br>• Qualité de vie et services : Vous pourrez accéder à nos espaces de convivialité et de créativité pour vos brainstormings, ainsi qu'à des services comme la conciergerie.<br>• Sport et nature : Aux portes du Parc naturel régional du Vexin français, près de l'Oise et de l'île de loisirs de Cergy, le cadre offre de nombreuses possibilités pour vous aérer. Le site dispose aussi de vestiaires équipés, avec des infrastructures sportives à proximité.<br>Flexibilité et conditions de travail : Possibilité de bénéficier de 2 jours de télétravail par semaine.<br>Rémunération : Attractive selon votre profil, complétée par un package avantageux : intéressement et participation élevés, comité d'entreprise très actif, mutuelles et prévoyances performantes.<br>Ce poste nécessitant l'accès à des informations relevant du secret de la défense nationale, le/la candidat-e retenu-e fera l'objet d'une habilitation.<br>Chez Safran, nous valorisons la montée en compétence de nos collaborateurs. Grâce à un accompagnement dédié, pour évoluer au sein des plus de 400 métiers du groupe via nos parcours de mobilité interne, en France comme à l'international.<br>Un plan de formation individualisé vous permettra de construire votre trajectoire au sein du groupe. Rejoignez-nous !</p><br><br><p>Diplômé(e) d'une École d'ingénieurs ou d'un Master universitaire (Bac +5), vous justifiez d'une première expérience réussie (1 à 3 ans) en développement FPGA et vous avez la volonté de relever des défis techniques dans un secteur de très haute technologie.<br>Ce que nous recherchons chez vous :<br>• Un bagage technique solide : Le RTL, Verilog/SystemVerilog, Vivado et QuestaSim sont des environnements dans lesquels vous êtes (ou voulez devenir rapidement) expert(e).<br>• Un mindset de « Problem Solver » : Curieux(se), autonome et proactif(ve), vous aimez chercher des solutions innovantes face à des problèmes complexes.<br>• Un vrai esprit d'équipe : Chez nous, la communication est aussi importante que la technique. Vous savez écouter, partager vos idées clairement et travailler en synergie avec les autres métiers.<br>• Le sens de la rigueur : Vous avez conscience qu'une bonne documentation vaut autant qu'un bon design de puce.<br>• Le gros "plus" : Une appétence pour l'automatisation (Python, Makefile) et une première pratique des outils de travail collaboratif (Gitlab, Jira) vous permettront d'être rapidement à l'aise dans notre environnement.</p><br><br><br> </div>

<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>

<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>

<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>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>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:</p><p>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).</p><p>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.</p><p>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.</p><p>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.</p><p>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.</p><p>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.</p><p>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><p>Key Responsibilities</p><ul><li>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. While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. * The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications, Experience &amp; Competencies:</h2><p>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:</p><ul><li><strong>Educational Qualifications:</strong> A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.</li><li><strong>Specialization Areas:</strong> 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.</li><li><strong>Teaching Experience:</strong> Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.</li><li><strong>Research Engagement:</strong> Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.</li><li><strong>Industry Experience:</strong> 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.</li><li><strong>Practical Skills:</strong> 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.</li><li><strong>Professional Development:</strong> Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.</li><li><strong>Community Participation:</strong> Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</li></ul><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>