وظائف مدخل بيانات في سلطنة عمان

<p><strong>Job Summary</strong></p><p>The Oracle DBA is responsible for managing Oracle databases, ensuring high availability, security, backup, disaster recovery, and performance optimization.</p><p>&nbsp;</p><p><strong>Key Responsibilities</strong></p><ul><li>Administer Oracle databases and ensure 24×7 availability.</li><li>Configure RAC, Data Guard, GoldenGate, and clustering.</li><li>Manage backup, recovery, upgrades, and migrations.</li><li>Monitor database performance and security.</li><li>Perform tuning, capacity planning, and troubleshooting.</li><li>Maintain database documentation and disaster recovery procedures.</li></ul><p>&nbsp;</p><p><strong>Qualification</strong></p><ul><li>Bachelor's Degree in Computer Science, IT, or related field.</li><li>Oracle certifications preferred.</li></ul><p>&nbsp;</p><p><strong>Experience &amp; Skills</strong></p><ul><li>Minimum 12 years of Oracle DBA experience.</li><li>Expertise in Oracle RAC, Data Guard, RMAN, ASM, SQL/PLSQL, database tuning, cloud platforms, scripting, backup &amp; recovery, and database security.</li></ul>

<p>1. Fleet &amp; Rider Management: Monitor daily rider performance, manage shift rosters, coordinate breaks, and optimize zone allocations. 2. KPI Tracking: Track, document, and report on core logistics metrics like delivery times, order cancellations, and service level agreements (SLAs). 3. Compliance &amp; Quality: Audit rider appearance, professional conduct, and equipment usage via field checks and data analysis. 4. Onboarding &amp; Training: Supervise local rider onboarding schedules and support ongoing operational training.</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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><strong><u>The Opportunity</u></strong><br> <br> <p><span>The Data Governance &amp; Reporting Specialist is responsible for ensuring high-quality, governed, and actionable data across the organization. This role combines data governance, data quality, and reporting capabilities to support regulatory, operational, and strategic decision-making.</span></p><br><br> <br> <br><strong><u>Key Responsibilities</u></strong><br> <br> <p><span>Data Governance &amp; Compliance</span></p><br><br><ul><li><span>Support implementation of data governance framework, policies and standards</span></li><li><span>Ensure compliance with regulatory requirements (PDPL, DOH, CBUAE)</span></li><li><span>Maintain governance documentation and data standards</span></li><li><span>Act as liaison between Data, IT and business stakeholders<br></span></li></ul><br><p><span>Data Quality Management</span></p><br><br><ul><li><span>Develop and monitor data quality rules and controls</span></li><li><span>Track data issues and remediation actions</span></li><li><span>Ensure data accuracy for reporting and analytics</span></li></ul><br><p><span>Reporting &amp; Analytics</span></p><br><br><ul><li><span>Develop dashboards and reports using Power BI</span></li><li><span>Provide insights across claims, underwriting and operations</span></li><li><span>Enable self-service reporting capabilities</span></li></ul><br><p><span>Data Products &amp; Insights</span></p><br><br><ul><li><span>Build governed datasets such as Customer 360 and claims dashboards</span></li><li><span>Support fraud detection and operational monitoring use cases</span></li></ul><br><p><span>Data Integration &amp; Architecture</span></p><br><br><ul><li><span>Document data lineage and transformations</span></li><li><span>Validate ETL processes and data reconciliations</span></li></ul><br><p><span>Stakeholder Collaboration</span></p><br><br><ul><li><span>Work with business teams to define KPIs and data requirements</span></li><li><span>Drive data-driven decision making</span></li></ul><br> <br> <br><strong><u>Required Qualifications</u></strong><br> <br> <ul><li>Bachelor’s degree in Data Science, Computer Science, Statistics or related field.<br></li><li>5+ years experience in data governance, data quality or reporting roles.<br></li><li>Experience in insurance or financial services preferred.<br></li></ul><br>Technical Skills<br><ul><li>SQL, Power BI<br></li><li>Python/R (preferred)<br></li><li>Data governance and data quality tools (Collibra, Talend, etc.)<br></li><li>Understanding of data governance frameworks (DAMA, DCAM)<br></li></ul><br>Soft Skills<br><ul><li>Strong analytical and problem-solving skills<br></li><li>Stakeholder management and communication<br></li><li>Documentation and process design<br></li><li>Highly structured and organized, with strong attention to details<br></li></ul> <br> <br><strong><u>Preferred Qualifications</u></strong><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><strong><u>The Opportunity</u></strong><br> <br> <p><span>The Data Insights Analyst is a senior responsible for transforming governed data into actionable business insights and regulatory reporting outputs. This role combines advanced analytics, regulatory reporting expertise, data governance, data quality oversight and deliver trusted, timely, and business-relevant outcomes.</span></p><br><br> <br> <br><strong><u>Key Responsibilities</u></strong><br> <br> <span>Insights &amp; Advanced Analytics (Primary Focus)</span><ul><li><span>Lead advanced analytical insights across claims, underwriting, operations, and customer experience</span></li><li><span>Translate complex datasets into business narratives and actionable recommendations</span></li><li><span>Perform deep-dive analysis on claims leakage, cost drivers, and operational inefficiencies</span></li><li><span>Identify trends, risks, and opportunities to support strategic decision-making</span></li><li><span>Partner with business leaders to proactively shape data-driven strategies</span></li></ul><br><span>Regulatory Reporting &amp; Data Readiness</span><ul><li><span>Own end-to-end data preparation and validation for regulatory reporting (DOH, DHA, CBUAE)</span></li><li><span>Ensure data completeness, accuracy, and reconciliation</span></li><li><span>Investigate and explain data variances across reports</span></li><li><span>Ensure audit-ready datasets and reporting controls</span></li><li><span>Enhance regulatory reporting frameworks and standards</span></li></ul><br><span>Data Governance &amp; Quality Oversight</span><ul><li><span>Act as senior data steward for critical data elements</span></li><li><span>Ensure adherence to data governance policies and standards</span></li><li><span>Define and monitor data quality rules and KPIs</span></li><li><span>Lead root cause analysis and resolution of complex data issues</span></li></ul><br><span>Reporting &amp; Data Products</span><ul><li><span>Design executive dashboards and reports using Power BI</span></li><li><span>Develop reusable data assets such as claims dashboards and customer datasets</span></li><li><span>Enable self-service reporting using governed datasets</span></li></ul><br><span>Stakeholder Engagement</span><ul><li><span>Act as trusted advisor to business stakeholders</span></li><li><span>Translate business challenges into data-driven insights</span></li><li><span>Influence decision-making through clear storytelling and executive reporting</span></li></ul><br> <br> <br><strong><u>Required Qualifications</u></strong><br> <br> <ul><li><span>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or related field5+ years experience in data analytics, or regulatory reporting</span></li></ul><ul><li><span>Advanced SQL</span></li><li><span>Power BI reporting</span></li><li><span>Data modeling and ETL understanding</span></li><li><span>Knowledge of data governance frameworks (DAMA, DCAM) is a plus</span></li><li><span>Strong analytical and problem-solving skills</span></li><li><span>Ability to translate data into business insights</span></li><li><span>Stakeholder management and communication</span></li><li><span>Strong documentation and governance mindset</span></li></ul><br> <br> <br><strong><u>Preferred Qualifications</u></strong><br> <br> <ul><li><span>Experience within the health insurance, healthcare payer, or financial services industry.</span></li><li><span>Proven ability to present complex analytical findings to senior leadership through compelling data storytelling.</span></li><li><span>Strong project management skills with experience leading cross-functional data initiatives.</span></li></ul> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> Oman </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Data Leader Qualité F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Vous cherchez une opportunité de rejoindre un secteur en pleine croissance et en constante évolution, ce poste vous permettra d'exercer vos talents.<br>Nous recherchons un Digital Leader Qualité (data et IA) afin d'améliorer notre exploitation des données qualité et accélérer la transformation digitale de nos modes de fonctionnement du réseau qualité Support et Services, pour cela l'objectif est de:<br>- Rendre les données qualité plus facilement accessibles et exploitables dans un format et un cadre pertinents.<br>- Développer/accompagner le développement des solutions d'IA prédictive pour anticiper les risques qualité<br>- Optimiser les temps de traitement des événements qualité par l'automatisation/digitalisation<br>- Permettre des synthèses rapides pour aider les équipes opérationnelles dans l'analyse et la prise de décision<br>- Contribuer à la sécurité aérienne en remontant les écarts et interrogations et en faisant respecter les fondamentaux de la qualité <br>A ce titre, vous aurez la responsabilité de :<br>1. Piloter la roadmap Data de la direction Qualité Support, Services <br>- Animer des workshops de priorisation et de déploiement des chantiers Data<br>- Contribuer, voire animer et piloter les chantiers IA et data sur la thématique qualité (train Agile qualité)<br>2. Mettre en place la gouvernance des données et les actions de progrès associées :<br>- Concevoir et animer le plan de progrès du Management des données et en piloter la maturité <br>- Structurer le patrimoine/catalogage des données qualité (cartographie, modèle de données, règles, standards)<br>- En particulier, contribuer à la gouvernance, définition et exploitation des données du réseau qualité Support et Services <br>- Mettre en œuvre les meilleures pratiques en matière de gestion des données<br>- Implémenter les règles de sécurité et compliance (RGPD, export control)<br>- Construire le plan de surveillance de la donnée (données clefs et propriétaires des données, exigences de qualité). Assurer la qualité et l'intégrité des données.<br>3. Reporting et communication :<br>- Produire ou permettre des synthèses pour aider les équipes de la Direction, dans l'analyse et la prise de décision<br>- Améliorer et/ou concevoir des outils simples et ergonomiques (Tableaux de bord PBI, …) pour le pilotage temps réel des sujets qualité<br>- Contribuer à la stratégie Data de la direction Qualité, Progrès et Transformation Digitale et de l'entreprise</p><br><br><p>-</p><br><br><p>- Compétences en gestion et analyse de données<br>- Capacité à comprendre et à interpréter des données techniques<br>- Appétence pour la résolution de problèmes<br>- Compréhension de la façon dont les données sont utilisées par les métiers et les impacts de la donnée sur la capacité du métier à tenir ses objectifs<br>- Connaissance des procédures sur la sécurité des données et des règlementations en vigueur (export control, RGPD) et un sens de l'éthique prononcé<br>- Capacité d'analyse et synthèse<br>- Esprit d'innovation, force de proposition et prise d'initiative<br>- Autonomie, organisation et rigueur<br>- Très bon relationnel, esprit d'équipe et capacité à convaincre et embarquer<br>- Maitrise de l'anglais</p><br><br><br> </div>

<p>Job Content </p> <p>The Database Administrator (DBA) role encompasses the administration, management, security, optimization, and continuous operation of OETC's enterprise database environment. It covers all activities related to database planning, implementation, configuration, monitoring, maintenance, backup and recovery, performance optimization, capacity management, security, high availability, disaster recovery, and lifecycle management.</p> <p>The role supports databases used by enterprise applications and business systems, ensuring data integrity, availability, confidentiality, and reliability. It includes database architecture, storage management, database migrations, upgrades, patch management, user access administration, database monitoring, automation, documentation, compliance, and integration with enterprise infrastructure and business applications.</p> <p>The position also covers database technologies, operational standards, technical governance, business continuity, cybersecurity compliance, performance reporting, and the adoption of best practices to maintain a secure, resilient, and scalable database environment that supports OETC's operational and strategic objectives.</p> <p>Area of responsibility</p> <p> Administer, maintain, and support enterprise database environments to ensure high availability, performance, and reliability.</p> <p> Install, configure, upgrade, patch, and maintain database management systems and related software.</p> <p> Monitor database performance and implement tuning and optimization to ensure efficient system operation.</p> <p> Perform database backup, restoration, replication, and disaster recovery activities to safeguard business data.</p> <p> Ensure database availability and integrity through proactive monitoring, preventive maintenance, and health checks.</p> <p> Manage database user accounts, roles, privileges, and access permissions in accordance with information security policies.</p> <p> Implement database security controls, encryption, auditing, and vulnerability remediation to protect organizational data.</p> <p> Create, modify, and maintain database objects, including schemas, tables, indexes, views, stored procedures, and functions.</p> <p> Troubleshoot and resolve database incidents, performance issues, and service disruptions within agreed Service Level Agreements (SLAs).</p> <p> Support business applications by providing database administration, technical support, and performance optimization.</p> <p> Plan and execute database upgrades, migrations, and patch deployments with minimal business disruption.</p> <p> Develop and maintain database standards, operational procedures, technical documentation, and configuration records.</p> <p> Perform database capacity planning and recommend infrastructure enhancements to meet future business requirements.</p> <p> Collaborate with application, infrastructure, network, cybersecurity, and vendor teams to ensure seamless service delivery.</p> <p> Support system implementation projects by providing database design, configuration, and technical expertise.</p> <p> Automate routine database administration tasks to improve operational efficiency and service quality.</p> <p> Monitor database backup jobs, replication status, storage utilization, and system alerts, taking corrective actions when required.</p> <p> Ensure compliance with OETC policies, cybersecurity standards, business continuity requirements, and applicable regulatory and audit requirements.</p> <p> Participate in disaster recovery planning, testing, and recovery exercises to ensure database resilience.</p> <p> Prepare periodic reports on database performance, availability, backup status, capacity utilization, and operational issues.</p> <p> Evaluate new database technologies, tools, and best practices to improve database services and operational efficiency.</p> <p> Provide technical guidance and knowledge sharing to IT teams and support continuous improvement initiatives.</p> <p> Coordinate with software vendors and third-party support providers for issue resolution, upgrades, and maintenance activities.</p> <p> Perform any other database administration duties assigned by the line manager in support of OETC's business objectives.</p> <p>MINIMUM EDUCATION, QUALIFICATIONS &amp; SKILLS</p> <p>Education:</p> <p> Bachelor's degree in Computer Science, Information Technology, Information Systems, Computer Engineering, or a related field.</p> <p>Experience:</p> <p> 3 5 years of experience in Database Administrator</p> <p>Special Skills &amp; Knowledge: </p> <p> Strong knowledge of Oracle Database, Microsoft SQL Server, or other enterprise database management systems.</p> <p> Knowledge of database installation, configuration, administration, backup, recovery, and performance tuning.</p> <p> Understanding of High Availability (HA), Disaster Recovery (DR), replication, and database clustering technologies.</p> <p> Knowledge of SQL, stored procedures, and database scripting.</p> <p> Knowledge of enterprise backup and recovery solutions.</p> <p> Familiarity with database security, user access management, encryption, and auditing.</p> <p> Experience with database monitoring, troubleshooting, and capacity planning.</p> <p> Understanding of Windows Server and Linux operating systems</p> <p> Familiarity with ISO/IEC 27001 requirements and information security controls.</p> <p> Ability to diagnose and resolve DB technical issues in a timely and effective manner.</p> <p> Strong communication, documentation, problem-solving, and analytical skills.</p> <p> Ability to work independently, manage priorities, and support critical business systems.</p> <p> Strong analytical, troubleshooting, and problem-solving skills.</p> <p>ADDITIONAL QUALIFICATION /CERTIFICATION REQUIRED</p> <p> Professional certification (e.g., Microsoft Certified: Azure Database Administrator Associate / Microsoft SQL Server Certification )</p> <p> ITIL 4 Foundation Certification</p> <p>Preferred:</p> <p> Oracle Database Administration Certification </p> <p> Microsoft Certified: Azure Administrator Associate</p> <p> ISO/IEC 27001 Information Security Awareness</p> <p> PowerShell, Shell Scripting, or Python Automation</p> <p> Cloud Database Services</p> <p> </p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<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 Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus 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 $37 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></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<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 Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus 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 $37 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></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<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> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus 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 $37 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></span> </div>

<p>INTRODUCTION TO GGGI 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.</p><p>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.</p><p>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.</p><p>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.</p><p>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. [JY1] • Compile and analyze secondary data analysis using historical government records, GIS mapping platforms, and localized emission factors to establish accurate Zero-Point Baselines for rangeland degradation and GHG emissions. • Clean, process, and analyze complex quantitative and qualitative datasets, utilizing data visualization to regularly produce stakeholder-friendly update briefs to [JY2] [JY3] support evidence-based decision-making for the Program Steering Committee (PSC) and Program Management Committee (PMC).Develop [JY4] [JY5] the official ARISE Program MEL Plan and is data collection mechanisms to monitor and measure the program s progress against environmental and socioeconomic performance indicators and Ensure all the program data is collected on time on the GGGI Online.. • Maintain internal project reporting, including tracking the 750,000 tCO2e/year emission reduction and 30,000 ha restoration targets via GGGI Online (GO). • Program and deploy mobile data collection tools (e.g., Open Data Kit, MS forms, Google survey, Kobo Toolbox, Ona) utilizing XLS form-building. • Prepare Annual End-Of-Year-Results (EOYR) reports, impact case studies, and donor progress reports in a timely and highly professional manner. • Ensure the preparation, accuracy and timely submission of monitoring reports.</p><p>WORKING CONDITIONS The MEL &amp; Data Officer is an G8NAT grade level in GGGI's national salary scale, details of which can be found in the GGGI Staff Rules on GGGI s website. In addition, GGGI provides 27 days of annual leave, flexible work arrangements and contribution towards private health insurance that covers dental and vision. GGGI is committed to providing a work environment that is sufficiently flexible to accommodate diverse life-cycle challenges and assist Staff members to achieve a better balance between work commitments and personal and family commitments, thus ensuring high performance, long-term productivity and well-being of Staff members. For more information on GGGI's terms and conditions (allowances, health care, education etc.) please familiarize yourself with GGGI's Rules and Regulations that can be found here: https://gggi.org/policy-documents/. Child protection GGGI is committed to child protection, irrespective of whether any specific area of work involves direct contact with children. GGGI s Child Protection Policy is written in accordance with the Convention on the Rights of the Child.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Master's degree or equivalent in economics, statistics, data science, environmental science, development studies, or a related field.</li><li>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.</li><li>Demonstrated expertise in quantitative and qualitative data analysis software (e.g., R, Python, MAXQDA) and advanced Microsoft Excel (VBA).</li><li>Proven experience utilizing mobile data collection platforms (Kobo Toolbox, Ona, etc.) and developing user-friendly digital survey forms.</li><li>Exceptional analytical, writing, and presentation skills in English are required.</li><li>Fluency in Arabic is an asset for this role and is highly desirable.</li></ul><p><strong>FUNCTIONAL COMPETENCIES</strong></p><ul><li>Strong written and verbal communication skills in English; ability to draft high-quality MEL frameworks, evaluation reports, and technical documents.</li><li>Strong project management and coordination skills, including experience working with governments (e.g., Environment Authority), development partners, and technical experts.</li><li>Ability to interpret technical analysis, GIS mapping, and GHG modeling outputs and translate them into actionable MEL insights and policy-level reporting.</li><li>Strong background in developing complex logframes and impact tracking mechanisms, particularly for climate change, agriculture, or Nature-based Solutions (NbS).</li><li>Ability to coordinate consultants, enumerators, and data collection activities across multiple stakeholders without direct line management authority.</li><li>Strong organizational skills and attention to detail, with the ability to manage competing priorities and meet deadlines in a time-sensitive environment.</li><li>Solutions-oriented and collaborative approach to problem solving in a multi-stakeholder setting.</li></ul><p><strong>CORPORATE</strong></p><ul><li>Understand and actively support GGGI's mission, vision and values.</li><li>Promote an organizational culture of trust, transparency, respect and partnership.</li><li>Excel at problem solving, ask questions and seek support when needed, share easily information and knowledge with others both internally as externally.</li><li>Manage emotions and stress positively, build rapport and resolves conflict easily.</li><li>Strong ability to work independently and/or remotely, while maintaining productivity.</li></ul>

<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>We are seeking an experienced, onsite Senior Oracle Database Administrator to manage and support a large-scale Test &amp; Development database environment (100+ databases) for a banking sector client. The ideal candidate is a hands-on Oracle DBA with strong RAC, performance tuning, backup/recovery, and high-availability expertise, comfortable working within a regulated banking environment and flexible working hours aligned to business needs.</p><p>Administer, configure, and upgrade Oracle GI/DBMS software on RHEL/IBM-AIX platforms in line with version and change control procedures. Lead migration of databases from standalone to RAC architecture, applying security baselines and integration requirements. Monitor, tune, and optimize database performance; execute daily health checks and proactive maintenance routines. Own backup, recovery, and disaster recovery planning to meet defined RPO/RTO targets, including periodic recovery drills. Manage problem investigation, root-cause diagnosis, and resolution through a formal problem management process. Forecast database and infrastructure growth; plan for storage optimization, data retention, and cleanup. Design and implement failover/high-availability solutions. Maintain documentation, knowledge base, and QMS process artifacts; report regularly to the supervisor/customer stakeholders.</p><p><strong>Desired Candidate Profile</strong></p><p>The ideal candidate is a hands-on Oracle DBA with strong RAC, performance tuning, backup/recovery, and high-availability expertise, comfortable working within a regulated banking environment and flexible working hours aligned to business needs.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Ingénieur Solutions Data &amp; IA Métier F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Rejoindre Safran Aircraft Engines, c'est contribuer à façonner l'avenir de l'aviation, avec une motorisation plus verte, plus économe et plus durable.<br>Au sein de la direction des Opérations Clients, nous pilotons la relation Support et Service avec l'ensemble de nos clients, telle que la facturation, les garanties, les contrats, le leasing, etc.. La donnée est au cœur de la performance et de la transformation digitale !<br>Nous avons identifié des leviers de croissance majeurs liés à l'exploitation de nos données. Pour transformer ces opportunités en outils de production/process fiables et rentables, nous créons ce poste d'Ingénieur IA orienté métier. Vous serez le pont indispensable entre la complexité algorithmique et les besoins pragmatiques de nos utilisateurs finaux en étant un véritable architecte de solutions concrètes !<br>Votre rôle sera de concevoir, déployer et maintenir des solutions d'IA qui répondent à des problématiques business réelles. Vous serez un véritable acteur de la maturité data de Safran Aircraft Engines et un partenaire privilégié des équipes de l'ensemble de nos services qui pilotent le Support et Service, chacun avec des business models et pratiques propres. <br>Vos missions : Transformer la donnée en valeur d'usage<br>• Analyse du besoin métier : Collaborer avec les directions opérationnelles pour traduire leurs enjeux en spécifications techniques<br>• Conception et Développement : Sélectionner les architectures adaptées (s'appuyer sur une IA interne Secured ChatGPT, Copilot / Copilot Premium – LLM, ML classique ou Deep Learning selon les cas) et développer les modèles en privilégiant la robustesse et l'explicabilité<br>• Industrialisation : Assurer le passage du prototype (PoC) à la mise en production, en veillant à la scalabilité et au monitoring des performances<br>• Vulgarisation et Accompagnement : Présenter les résultats aux parties prenantes non-techniques et accompagner le changement pour garantir l'adoption des outils créés<br>• Veille technologique : Identifier les nouvelles tendances IA applicables directement à notre secteur d'activité pour maintenir notre avantage compétitif<br>• Suivre les KPI et proposer des plans d'amélioration continue, en particulier sur le suivi des montées de version des IA</p><br><br><p>Pourquoi nous rejoindre ?<br>• Vous contribuerez directement à la transformation digitale et commerciale d'un grand acteur de l'aéronautique<br>• Vous serez au cœur d'un projet stratégique : utiliser de la donnée fiable, utile et créatrice de valeur<br>• Vous travaillerez dans un environnement collaboratif, où la curiosité et la créativité sont encouragées<br>• Vous développerez une double compétence IA/data et business Support et Service, précieuse pour la suite de votre carrière</p><br><br><p>Formation :<br>• Bac +5 (école d'ingénieur, école de commerce ou université) avec spécialisation en IA ou domaine connexe<br>• 3 ans d'expérience minimum sur un poste équivalent, idéalement acquise dans un environnement où l'IA est intégrée à un produit ou un service final<br>Compétences techniques<br>- Maîtrise de la Stack Data : Python (Expert), SQL, et les bibliothèques standards (Pandas, Scikit-learn ou PyTorch (TensorFlow apprécié)<br>- LLMs : Expérience dans l'implémentation de solutions type RAG, fine-tuning ou utilisation d'APIs — maîtrise de LangChain ou LlamaIndex<br>- Prompt engineering et évaluation de sorties LLM<br>- MLOps &amp; Cloud : MLflow ou équivalent, Docker (Kubernetes apprécié), et AWS (SageMaker apprécié)<br>- Aisance dans la manipulation de données multi-sources (CRM, ERP, fichiers plats, etc.)<br>Environnement &amp; outils disponibles<br>Vous évoluerez dans un environnement où la transformation digitale est déjà engagée : ChatGPT Secured déployé en interne, Microsoft Copilot / Copilot Premium intégré aux outils collaboratifs, et une infrastructure Cloud AWS en place.<br>Compétences comportementales : Equilibre entre rigueur technique et vision métier<br>• Sens du "Produit" : Vous ne développez pas pour la beauté de l'algorithme, mais pour résoudre un problème / améliorer un process<br>• Excellente Communication : Capacité à expliquer des concepts complexes de manière simple à des décideurs et des utilisateurs finaux<br>• Autonomie et Esprit Critique : Savoir dire "non" à une solution IA si une règle métier simple est plus efficace.<br>• Esprit d'équipe et d'entraide<br>• Esprit analytique, rigueur et sens du détail<br>• Pédagogie et envie de faire grandir la culture data autour de soi<br>• Curiosité, esprit d'innovation et goût du challenge<br>• Force de proposition dans l'amélioration continue<br>• Langues : Français et anglais professionnel</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Ingénieur-e Solutions Data &amp; IA Métier F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Rejoindre Safran Aircraft Engines, c'est contribuer à façonner l'avenir de l'aviation, avec une motorisation plus verte, plus économe et plus durable.<br>Au sein de la direction des Opérations Clients, nous pilotons la relation Support et Service avec l'ensemble de nos clients, telle que la facturation, les garanties, les contrats, le leasing, etc.. La donnée est au cœur de la performance et de la transformation digitale !<br>Nous avons identifié des leviers de croissance majeurs liés à l'exploitation de nos données. Pour transformer ces opportunités en outils de production/process fiables et rentables, nous créons ce poste d'Ingénieur IA orienté métier. Vous serez le pont indispensable entre la complexité algorithmique et les besoins pragmatiques de nos utilisateurs finaux en étant un véritable architecte de solutions concrètes !<br>Votre rôle sera de concevoir, déployer et maintenir des solutions d'IA qui répondent à des problématiques business réelles. Vous serez un véritable acteur de la maturité data de Safran Aircraft Engines et un partenaire privilégié des équipes de l'ensemble de nos services qui pilotent le Support et Service, chacun avec des business models et pratiques propres. <br>Vos missions : Transformer la donnée en valeur d'usage<br>• Analyse du besoin métier : Collaborer avec les directions opérationnelles pour traduire leurs enjeux en spécifications techniques<br>• Conception et Développement : Sélectionner les architectures adaptées (s'appuyer sur une IA interne Secured ChatGPT, Copilot / Copilot Premium – LLM, ML classique ou Deep Learning selon les cas) et développer les modèles en privilégiant la robustesse et l'explicabilité<br>• Industrialisation : Assurer le passage du prototype (PoC) à la mise en production, en veillant à la scalabilité et au monitoring des performances<br>• Vulgarisation et Accompagnement : Présenter les résultats aux parties prenantes non-techniques et accompagner le changement pour garantir l'adoption des outils créés<br>• Veille technologique : Identifier les nouvelles tendances IA applicables directement à notre secteur d'activité pour maintenir notre avantage compétitif<br>• Suivre les KPI et proposer des plans d'amélioration continue, en particulier sur le suivi des montées de version des IA</p><br><br><p>Pourquoi nous rejoindre ?<br>• Vous contribuerez directement à la transformation digitale et commerciale d'un grand acteur de l'aéronautique<br>• Vous serez au cœur d'un projet stratégique : utiliser de la donnée fiable, utile et créatrice de valeur<br>• Vous travaillerez dans un environnement collaboratif, où la curiosité et la créativité sont encouragées<br>• Vous développerez une double compétence IA/data et business Support et Service, précieuse pour la suite de votre carrière</p><br><br><p>Formation :<br>• Bac +5 (école d'ingénieur, école de commerce ou université) avec spécialisation en IA ou domaine connexe<br>• 3 ans d'expérience minimum sur un poste équivalent, idéalement acquise dans un environnement où l'IA est intégrée à un produit ou un service final<br>Compétences techniques<br>- Maîtrise de la Stack Data : Python (Expert), SQL, et les bibliothèques standards (Pandas, Scikit-learn ou PyTorch (TensorFlow apprécié)<br>- LLMs : Expérience dans l'implémentation de solutions type RAG, fine-tuning ou utilisation d'APIs — maîtrise de LangChain ou LlamaIndex<br>- Prompt engineering et évaluation de sorties LLM<br>- MLOps &amp; Cloud : MLflow ou équivalent, Docker (Kubernetes apprécié), et AWS (SageMaker apprécié)<br>- Aisance dans la manipulation de données multi-sources (CRM, ERP, fichiers plats, etc.)<br>Environnement &amp; outils disponibles<br>Vous évoluerez dans un environnement où la transformation digitale est déjà engagée : ChatGPT Secured déployé en interne, Microsoft Copilot / Copilot Premium intégré aux outils collaboratifs, et une infrastructure Cloud AWS en place.<br>Compétences comportementales : Equilibre entre rigueur technique et vision métier<br>• Sens du "Produit" : Vous ne développez pas pour la beauté de l'algorithme, mais pour résoudre un problème / améliorer un process<br>• Excellente Communication : Capacité à expliquer des concepts complexes de manière simple à des décideurs et des utilisateurs finaux<br>• Autonomie et Esprit Critique : Savoir dire "non" à une solution IA si une règle métier simple est plus efficace.<br>• Esprit d'équipe et d'entraide<br>• Esprit analytique, rigueur et sens du détail<br>• Pédagogie et envie de faire grandir la culture data autour de soi<br>• Curiosité, esprit d'innovation et goût du challenge<br>• Force de proposition dans l'amélioration continue<br>• Langues : Français et anglais professionnel</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Stage développement logiciel acquisition de données et affichage F/H</p><br><br><p>Stage</p><br><br><p>4 mois</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Rejoignez nos équipes innovantes et contribuez à la conception d'un logiciel pour l'acquisition de données, au cœur des systèmes inertiels et des UMI (Unités de Mesure Inertielle) développés par la Direction de l'Ingénierie Navigation.<br>Vos missions lors de ce stage:<br>- Analyser le système physique pour comprendre les données à acquérir.<br>- Concevoir et implémenter une architecture logicielle robuste et évolutive en réponse aux exigences, en utilisant Python orienté objet.<br>- Développer un logiciel d'acquisition incluant la sauvegarde des données, leur traitement et un affichage graphique intuitif.<br>- Valider la fiabilité du logiciel via des essais en laboratoire..<br>- Documenter votre travail (architecture, manuel utilisateur, rapports de tests) pour une intégration optimale.</p><br><br><p>Impact concret : votre développements contribuera à des produits embarqués critiques pour la navigation (aéronautique, spatial, défense).<br>Environnement stimulant : accès aux dernières technologies et mentorat par des experts.</p><br><br><p>Étudiant(e) en école d'ingénieur, spécialisé(e) en électronique, informatique industrielle ou systèmes embarqués.<br>À l'aise avec Python (orienté objet, idéalement avec des bibliothèques comme PyQt).<br>Motivé(e) par les défis techniques et les environnements labo (essais, validation, débogage).<br>Rigoureux(se), autonome et doté(e) d'un esprit d'analyse pour proposer des solutions optimisées.</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Apprenti-e Data &amp; AI Product Builder – Marque Support &amp; Services F/H</p><br><br><p>Alternance</p><br><br><p>12 à 24 mois</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Safran est un groupe international de haute technologie opérant dans les domaines de l'aéronautique (propulsion, équipements et intérieurs), de l'espace et de la défense. Safran Aicraft Engines est une société du Groupe Safran. Porté par plus de 27 000 collaborateurs répartis sur 31 sites dans 9 pays, Safran Aircraft Engines (SAE) est un motoriste aéronautique depuis plus de 110 ans. Nous concevons, développons, produisons et commercialisons, seul ou en coopération, des moteurs pour avions civils ou militaires, ainsi que pour les satellites.<br>Au sein de la Division Support et Services, la Marque Support &amp; Services a pour mission de piloter et et coordonner les différentes fonctions de l'après-vente pour les programmes Moteurs Civils, gérer les plans d'actions de la flotte avion équipée de nos moteurs, mettre en œuvre le plan de réduction des coûts de maintenance, et rassembler et partager les hypothèses de planification globale des activités support et services.<br>En tant qu'alternant-e, vous participerez au développement de produits IA pour accompagner la montée en puissance de l'IA au sein de notre division.<br>Dans ce cadre, vous interviendrez principalement sur les missions suivantes :<br>• Participer à l'identification, la formalisation et l'analyse des besoins utilisateurs, en allant à la rencontre des équipes métiers (“vis ma vie”) pour comprendre leur quotidien, identifier les tâches chronophages ou irritantes, et imaginer avec elles de nouvelles façons de travailler grâce à l'intelligence artificielle,<br>• Participer à la conception, au développement et au déploiement de d'agents et de produits exploitant les technologies d'intelligence artificielle afin de transformer les besoins utilisateurs en solutions concrètes à forte valeur ajoutée,<br>• Participer au maintien en conditions opérationnelles des outils développés en collaboration avec les équipes Data Services Factory et métiers,<br>• Former les utilisateurs, animer des démonstrations, et communiquer sur les outils développés.</p><br><br><p>• Vous aimez autant échanger avec les utilisateurs que développer des solutions techniques. Curieux-se et créatif-ve, vous aimez comprendre comment les équipes travaillent au quotidien afin d'identifier des opportunités d'amélioration concrètes.<br>• Vous êtes à l'aise pour aller sur le terrain, observer les activités, animer des échanges et transformer des besoins parfois flous en solutions simples et utiles.</p><br><br><p>Votre profil :<br>• Vous êtes passionné-e par le domaine de l'aéronautique et vous êtes étudiant-e en école d'ingénieur ou en master spécialisé en Data Science ou Intelligence Artificielle.<br>• Vous disposez de connaissances en programmation, en architecture et en analyse des données. Vous souhaitez développer vos compétences en science de la donnée et en intelligence artificielle.<br>• Vous avez une bonne compréhension du fonctionnement des solutions d'IA génératives, comme M365 Copilot ou ChatGPT, et une bonne connaissance du prompt engineering. <br>• Vous faites preuve d'un bon sens du client, tenu des délais et des engagements.<br>• Vous avez développé une agilité, une curiosité et une capacité d'innovation.</p><br><br><br> </div>