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<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><h4>Description</h4> <p>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.</p> <p>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.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. 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.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></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>

<p><h4>Description</h4> <p>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.</p> <p>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.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. 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.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<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><h4>Description</h4> <p>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.</p> <p>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.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. 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.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>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.</p> <p>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.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. 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.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></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>Data Engineer IA orienté-e métier – Support et Service 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>Key Responsibilities</p><ul><li>Communicate with overseas recruitment agencies.</li><li>Follow up on the status of booked workers.</li><li>Update worker arrival and commission records.</li><li>Coordinate with overseas recruitment agencies.</li><li>Perform accurate data entry.</li><li>Maintain operational records.</li><li>Support daily operations.</li><li>Complete other administrative tasks as assigned.</li></ul><p>Work Conditions</p><ul><li>Remote position.</li><li>8 working hours per day.</li><li>6 working days per week.</li><li>1 weekly day off.</li><li>Monthly salary: USD 100.</li><li>Stable internet connection and laptop required.&nbsp;</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>Fast and accurate data entry skills.</li><li>Excellent attention to detail.</li><li>Good written and spoken English communication.</li><li>Strong organizational and time management skills.</li><li>Ability to communicate professionally with international recruitment agencies.</li><li>Ability to multitask and work under pressure.</li><li>Responsible, committed, and able to meet deadlines.</li></ul><p>To apply:</p><p><br></p><p>Copy and paste the link below into your browser and complete the application form:</p><p><br></p><p>airtable.com/appPb5H9ePFajFMCW/shr4fiG60TcwRgd0p&nbsp;</p><p><br></p><p><br></p><p>Note:</p><ul><li>Applications will only be considered through the form. Please ensure all details are filled correctly.</li></ul><p><br></p></div>

<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"> <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>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>Must have Skills : Python (Strong), Model Packaging &amp; Deployment (Strong), RAG Workflow (Strong), Prompt Engineering with LLMs (Strong)</p><br><p>Good To Have Skills : Vector Databases and Embeddings (Capable)</p><br><p>Job description: Generative AI developer (experience 1 to 2 years) Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems). Focus on hands-on implementation, integration, and learning-by-delivery, under guidance.</p><br><p>Must Have: 1. Strong foundation in Python (data handling, APIs, scripts) 2. Understanding of APIs, Docker, or deployment workflows 3. Exposure to deploying ML/AI models (even in projects/internships) 4. Understanding of embeddings, retrieval flow 5. Hands-on exposure through projects 6. Experience working with GPT/Llama APIs 7. Ability to structure prompts and evaluate outputs 8. Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects. 9. . ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</p><br><p>Core Responsibilities (Execution Under Guidance) 1. Assist in building RAG-based GenAI solutions for enterprise use cases. 2. Develop Python-based services/APIs integrating LLMs. 3. Support data preprocessing, embeddings, and retrieval pipelines. 4. Contribute to model deployment and integration tasks. 5. Debug and improve existing pipelines under supervision. 6. Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</p><br><p>Good to Have 1. LangChain / LlamaIndex exposure 2. Cloud basics (Azure / AWS / GCP) 3. Basic understanding of CI/CD or MLOps concepts 4. Internship/project experience in GenAI or ML use cases Experience &amp; Qualification 1. Bachelor's in Computer Science / Data Science or related field. 2. 12 years of experience in AI/ML (including internships and project work). 3. Exposure to at least one end-to-end ML/GenAI project (academic and professional).</p><br><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"> Job Description<br><p>Must have Skills : Python (Strong), Model Packaging &amp; Deployment (Strong), RAG Workflow (Strong), Prompt Engineering with LLMs (Strong)</p><br><p>Good To Have Skills : Vector Databases and Embeddings (Capable)</p><br><p>Job description: Generative AI developer (experience 1 to 2 years) Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems). Focus on hands-on implementation, integration, and learning-by-delivery, under guidance.</p><br><p>Must Have: 1. Strong foundation in Python (data handling, APIs, scripts) 2. Understanding of APIs, Docker, or deployment workflows 3. Exposure to deploying ML/AI models (even in projects/internships) 4. Understanding of embeddings, retrieval flow 5. Hands-on exposure through projects 6. Experience working with GPT/Llama APIs 7. Ability to structure prompts and evaluate outputs 8. Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects. 9. . ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</p><br><p>Core Responsibilities (Execution Under Guidance) 1. Assist in building RAG-based GenAI solutions for enterprise use cases. 2. Develop Python-based services/APIs integrating LLMs. 3. Support data preprocessing, embeddings, and retrieval pipelines. 4. Contribute to model deployment and integration tasks. 5. Debug and improve existing pipelines under supervision. 6. Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</p><br><p>Good to Have 1. LangChain / LlamaIndex exposure 2. Cloud basics (Azure / AWS / GCP) 3. Basic understanding of CI/CD or MLOps concepts 4. Internship/project experience in GenAI or ML use cases Experience &amp; Qualification 1. Bachelor's in Computer Science / Data Science or related field. 2. 12 years of experience in AI/ML (including internships and project work). 3. Exposure to at least one end-to-end ML/GenAI project (academic and professional).</p><br><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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Develop and execute Test Plans, Test Cases and Test Scripts.</p></li><li><p>Perform Manual Testing, Functional Testing, Regression Testing, Smoke Testing and User Acceptance Testing (UAT).</p></li><li><p>Test Enterprise AI applications, RAG platforms, AI Agents and AI Chatbots.</p></li><li><p>Validate AI-generated responses for accuracy, relevance, consistency and factual correctness.</p></li><li><p>Identify AI hallucinations, incorrect responses and workflow issues.</p></li><li><p>Test ERP systems, enterprise portals, customer portals, university portals and complex web applications.</p></li><li><p>Perform API testing using Postman or similar tools.</p></li><li><p>Validate integrations with databases, third-party APIs, email systems and business applications.</p></li><li><p>Perform cross-browser, responsive and mobile compatibility testing.</p></li><li><p>Report, track and verify software defects using bug tracking tools.</p></li><li><p>Collaborate with Developers, Business Analysts and Product Managers to ensure high-quality releases.</p></li><li><p>Participate in Agile/Scrum development processes.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>Minimum 2 years of experience</strong> in Software Testing / Quality Assurance.</p></li><li><p>Strong understanding of SDLC and STLC.</p></li><li><p>Experience testing web-based enterprise applications.</p></li><li><p>Experience in Manual Testing and Regression Testing.</p></li><li><p>Basic knowledge of API Testing (Postman or similar).</p></li><li><p>Basic SQL knowledge for database validation.</p></li><li><p>Experience using Jira, Azure DevOps or similar bug tracking tools.</p></li><li><p>Strong analytical, troubleshooting and problem-solving skills.</p></li><li><p>Good written and verbal communication skills.</p></li></ul><br><p><strong>AI Experience (Preferred)</strong></p><p>Experience with any of the following will be an advantage:</p><ul><li><p>Generative AI Applications</p></li><li><p>Retrieval-Augmented Generation (RAG)</p></li><li><p>AI Agents</p></li><li><p>AI Chatbots</p></li><li><p>OpenAI / ChatGPT integrations</p></li><li><p>Large Language Models (LLMs)</p></li><li><p>OCR &amp; Intelligent Document Processing</p></li><li><p>Enterprise Knowledge Management Systems</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose: Completion of tasks related to the design and maintenance of software, systems, and applications in the stock exchange, and provides the necessary support to address deviations and any technical problems that may face operational processes and find the appropriate solutions for them, in coordination with the relevant organizational units. Key Responsibilities / Accountabilities: Implementations of the approved operating plan for the department, to ensure its continuous compliance with key performance indicators, and takes the necessary steps to address deviations wherever they are found to achieve those goals, in accordance with the laws, regulations, and systems in force and the instructions of the regulatory authorities, and the policies and procedures approved by the stock exchange. Develops the operations related to evaluating the uses and needs of the software, systems, and applications in the stock exchange, and oversees their development, and provides recommendations for making improvements to them. Develops the relevant organizational units in the evaluation, development, and updating of the software, applications, and systems in use, and raises all recommendations and shares all necessary data and information in a way that ensures the achievement of the set goals and in accordance with the operating plan. Coordinates the operations with the relevant organizational units with regard to database management and the operations and timing of backup storage for software, applications, and systems. Develops the implementation of the policies and procedures approved by the stock exchange in the continuity of operation of the software, applications, and systems in use during emergency and crisis periods. Oversees the periodic and emergency maintenance operations on the software, applications, and systems in use by finding solutions to all the problems and difficulties that it faces, correcting all the deviations resulting from it, and recommending future solutions to avoid it. Develops the programming design studies before the design process, supervises the experience of the programs and tests them, and records and documents the procedures for the operation of the programs and systems used. Committed to implementing all the tasks assigned to him related to the governance and information technology framework. Reporting of risks and events that occur in the circle to the circle of risks. Perform any other work that is determined by the director of the circle. Perform the tasks of one of the employees in the department or circle in the event of absence for any reason.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor Degree in Programming or any other related fields with +4 years' experience.</li><li>Solid understanding of Applications principles, practices, and technologies</li><li>Minimum 4 years experience in (C# , Oracle PL/SQL , Web Development , Mobile Developer).</li><li>Experience in managing teams and implementing Systems programs such as Linux, Oracle.</li><li>Detailed oriented and highly organized.</li><li>Excellent verbal and written communication skills in Arabic &amp; English.</li><li>Time Management.</li><li>Ability to work under pressure.</li></ul><p></p></section>

<p>Discover the Opportunity Are you an expert UiPath Architect ready to lead high-impact automation initiatives? We are seeking a Solution Architect to serve as the technical mastermind behind expanding, enterprise-grade Intelligent Process Automation (IPA) architectures for a huge telecom organization. Discover the Responsibilities • Design scalable, sustainable, end-to-end RPA frameworks and write comprehensive Solution Design Documents (SDD). • Incorporate cutting-edge UiPath capabilities, including Intelligent Document Processing (IDP), Document Understanding, OCR, and AI/ML models into enterprise workflows. • Enforce development best practices, conduct code reviews, and guide high-performing developer teams to align with core architectural standards. • Oversee seamless integrations between UiPath software and legacy IT infrastructure, databases (SQL/NoSQL), and APIs. • Act as the strategic bridge between business leads and development teams to translate operational requirements into technical automation solutions. Discover the Requirements • Experience: 7+ years in software development or RPA, with at least 3+ years specifically as a UiPath Solution Architect. • Certification: UiPath Advanced RPA Developer (UiARD) or UiPath Certified Professional certification is required. • Deep proficiency in UiPath Document Understanding and IDP capabilities. • Hands-on coding experience in C#, .NET, Python, or Java. • Strong scripting skills in PowerShell, JavaScript, or VBA. • Solid database experience (SQL/NoSQL) and building/consuming REST/SOAP APIs. • Domain Background: Proven track record delivering complex automation projects within enterprise or regulated domains (e.g., Telecom, Banking, or Energy). This role is located in Muscat, Oman - a stunning coastal capital known for its breathtaking natural landscapes, from dramatic mountain ranges to clear turquoise wadis. It offers a peaceful, high-quality lifestyle while being just a short 1-hour flight from Dubai.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Experience:</strong> 7+ years in software development or RPA, with at least 3+ years specifically as a UiPath Solution Architect.</li><li><strong>Certification:</strong> UiPath Advanced RPA Developer (UiARD) or UiPath Certified Professional certification is required.</li><li>Deep proficiency in UiPath Document Understanding and IDP capabilities.</li><li>Hands-on coding experience in C#, .NET, Python, or Java.</li><li>Strong scripting skills in PowerShell, JavaScript, or VBA.</li><li>Solid database experience (SQL/NoSQL) and building/consuming REST/SOAP APIs.</li><li><strong>Domain Background:</strong> Proven track record delivering complex automation projects within enterprise or regulated domains (e.g., Telecom, Banking, or Energy).</li></ul>

<p>Job Details: Role: ETL Tester Experience: 4-7 Years Job Base Location: Oman(Middle East) Work Mode- Work from Office(Client Location-Oman) Band - U3</p><p><strong>Desired Candidate Profile</strong></p><p>We are seeking a skilled and analytical Senior ETL Tester with 4+ years of experience to join our data engineering and analytics team. In this role, you will be responsible for validating complex data pipelines, ensuring data integrity, and verifying end-to-end data flow from various source systems to our enterprise data warehouse and data lake.The ideal candidate will have deep expertise in Telecom data structures, strong proficiency in Teradata SQL and Informatica PowerCenter, and hands-on experience handling big data environments using Hadoop and Python, NIFI, HIVE etc..</p><p>Mandatory Requirement: This position is based in Oman. Candidates must be fully willing to relocate to Oman.</p><p>Key Responsibilities</p><ul><li>Data Validation &amp; Quality Assurance: Design, develop, and execute comprehensive test plans, test cases, and test scripts for complex ETL processes using Informatica PowerCenter.</li><li>Database Testing: Write advanced, highly optimized SQL queries in Teradata to perform source-to-target data mapping validation, data integrity checks, and performance testing.</li><li>Big Data Testing: Validate data ingestion and processing within Hadoop ecosystems (Hive, HDFS, or Spark), ensuring seamless data flow between traditional data warehouses and big data platforms.</li><li>Automation &amp; Scripting: Leverage Python to automate repetitive testing tasks, build data reconciliation scripts, and streamline the QA regression suite.</li><li>Telecom Domain Analysis: Apply deep knowledge of telecom data (e.g., CDRs, billing records, network performance data, CRM, provisioning) to analyze business requirements and identify critical data anomalies.</li><li>Defect Management &amp; Collaboration: Track, log, and manage defects using tools like Jira or ALM. Work closely with ETL Developers, Data Architects, and Business Analysts to resolve data discrepancies and performance bottlenecks.</li><li>Data Migration &amp; Integration Testing: Verify complex transformations, aggregations, and business logic implementation across multiple data layers.</li></ul><p>Technical Skillset</p><ul><li>ETL Tools: Strong hands-on experience testing pipelines built with Informatica PowerCenter (understanding workflows, mappings, and transformations).</li><li>Databases &amp; SQL: Expert-level knowledge of Teradata SQL (stored procedures, macros, joins, indexes, and analytical functions).</li><li>Big Data Ecosystem: Practical exposure to Hadoop environments (querying via Hive/Impala, navigating HDFS).</li><li>Programming/Scripting: Proficiency in Python for automated data validation and file processing.</li><li>Methodologies: Strong understanding of Data Warehousing concepts (Star/Snowflake schemas, SCD Type 1/Type 2, Fact and Dimension tables).</li></ul><p>Soft Skills &amp; Tools</p><ul><li>Experience with Agile/Scrum methodologies.</li><li>Proficiency with test management and defect tracking tools (Jira, HP ALM, Azure DevOps).</li><li>Excellent analytical, problem-solving, and communication skills to bridge the gap between technical teams and business requirements.</li></ul><p>Preferred Qualifications (Nice to have)</p><ul><li>Experience with CI/CD pipelines (Jenkins, Git) for automated testing.</li><li>Exposure to cloud data platforms (e.g., Snowflake, AWS, or Azure) is a plus.</li><li>ISTQB or equivalent software testing certification.</li></ul>