Database Developer Jobs

<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>

<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>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>

<h2>منسق عمليات</h2><p><strong>Operations Coordinator</strong></p><p><strong>الشركة:</strong> Hurmoz Recruitment<br><strong>مكان العمل:</strong> عن بُعد (Remote)<br><strong>نوع الوظيفة:</strong> دوام كامل<br><strong>المستوى الوظيفي:</strong> مبتدئ (Entry Level)<br><strong>الراتب:</strong> 50 ريال عماني شهريًا (حوالي 160 دولار أمريكي)<br><strong>أيام العمل:</strong> 6 أيام أسبوعيًا<br><strong>الإجازة الأسبوعية:</strong> الجمعة</p><h2>نبذة عن الوظيفة</h2><p>تبحث Hurmoz Recruitment عن منسق عمليات للعمل عن بُعد، يكون مسؤولًا عن متابعة الأنشطة التشغيلية اليومية، والتنسيق بين الفرق المختلفة، وضمان تنفيذ المهام وفق الجداول الزمنية المحددة. تعد هذه الفرصة مناسبة للمبتدئين الراغبين في اكتساب خبرة عملية في مجال العمليات والإدارة داخل بيئة عمل رقمية.</p><h2>المسؤوليات الرئيسية</h2><h3>تنسيق العمليات اليومية</h3><ul><li>متابعة سير العمليات التشغيلية اليومية.</li><li>التنسيق بين الفرق المختلفة لضمان إنجاز المهام بكفاءة.</li><li>مراقبة تقدم الأعمال والمشاريع الجارية.</li><li>التأكد من تنفيذ الإجراءات المطلوبة وفق المعايير المعتمدة.</li></ul><h3>التواصل والمتابعة</h3><ul><li>التواصل المستمر مع أعضاء الفريق والمرشحين.</li><li>إرسال التحديثات والتعليمات اللازمة.</li><li>متابعة الطلبات والاستفسارات.</li><li>المساعدة في تنسيق الاجتماعات عند الحاجة.</li></ul><h3>متابعة إنجاز المهام</h3><ul><li>مراقبة حالة المهام والمشروعات.</li><li>إرسال التذكيرات الخاصة بالمواعيد النهائية.</li><li>متابعة الالتزام بالجداول الزمنية.</li><li>إعداد تقارير دورية عن تقدم العمل.</li></ul><h3>إدارة البيانات والسجلات</h3><ul><li>إدخال البيانات وتحديثها بشكل منتظم.</li><li>مراجعة المعلومات والتأكد من دقتها.</li><li>تنظيم الملفات والسجلات الإلكترونية.</li><li>الحفاظ على قواعد البيانات الداخلية للشركة.</li></ul><h3>ضمان جودة العمليات</h3><ul><li>التأكد من الالتزام بسياسات وإجراءات الشركة.</li><li>المساهمة في تحسين كفاءة العمليات التشغيلية.</li><li>دعم الفرق المختلفة لتحقيق الأهداف المطلوبة.</li></ul><h2>المهارات المطلوبة</h2><ul><li>إجادة اللغة الإنجليزية تحدثًا وكتابة.</li><li>مهارات جيدة في استخدام الحاسب الآلي.</li><li>القدرة على استخدام البريد الإلكتروني وأدوات العمل الرقمية.</li><li>مهارات تنظيم وإدارة الوقت بكفاءة.</li><li>القدرة على العمل بشكل مستقل وتحمل المسؤولية.</li><li>مهارات متابعة قوية والانتباه للتفاصيل.</li><li>القدرة على إدارة عدة مهام في وقت واحد.</li></ul><h2>المؤهلات المطلوبة</h2><ul><li>لا يشترط وجود خبرة طويلة في المجال.</li><li>يفضل وجود خبرة سابقة في الأعمال الإدارية أو التنسيقية أو العمل عن بُعد.</li><li>إجادة استخدام التطبيقات المكتبية والأدوات الرقمية.</li><li>القدرة على التواصل الفعال والعمل ضمن فريق.</li></ul><h2>المزايا</h2><ul><li>العمل عن بُعد بشكل كامل.</li><li>فرصة مناسبة للمبتدئين لبناء خبرة مهنية.</li><li>اكتساب مهارات في إدارة العمليات والتنسيق الإداري.</li><li>تطوير مهارات التواصل والعمل الرقمي.</li><li>إمكانية النمو والتطور الوظيفي مستقبلًا.</li></ul><h2>المسار الوظيفي المحتمل</h2><ul><li>مشرف عمليات</li><li>مسؤول إداري</li><li>منسق موارد بشرية</li><li>مساعد مدير مشاريع</li><li>مدير عمليات</li></ul>

<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>

<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>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient 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 writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) 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> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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><p>Must Have:</p><ul><li>Strong foundation in Python (data handling, APIs, scripts)</li><li>Understanding of APIs, Docker, or deployment workflows</li><li>Exposure to deploying ML/AI models (even in projects/internships)</li><li>Understanding of embeddings, retrieval flow</li><li>Hands-on exposure through projects</li><li>Experience working with GPT/Llama APIs</li><li>Ability to structure prompts and evaluate outputs</li><li>Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects.</li><li>ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</li></ul><p>Core Responsibilities (Execution Under Guidance)</p><ul><li>Assist in building RAG-based GenAI solutions for enterprise use cases.</li><li>Develop Python-based services/APIs integrating LLMs.</li><li>Support data preprocessing, embeddings, and retrieval pipelines.</li><li>Contribute to model deployment and integration tasks.</li><li>Debug and improve existing pipelines under supervision.</li><li>Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</li></ul><p>Good to Have</p><ul><li>LangChain / LlamaIndex exposure</li><li>Cloud basics (Azure / AWS / GCP)</li><li>Basic understanding of CI/CD or MLOps concepts</li><li>Internship/project experience in GenAI or ML use cases</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must Have:</p><ul><li>Strong foundation in Python (data handling, APIs, scripts)</li><li>Understanding of APIs, Docker, or deployment workflows</li><li>Exposure to deploying ML/AI models (even in projects/internships)</li><li>Understanding of embeddings, retrieval flow</li><li>Hands-on exposure through projects</li><li>Experience working with GPT/Llama APIs</li><li>Ability to structure prompts and evaluate outputs</li><li>Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects.</li><li>ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</li></ul><p>Core Responsibilities (Execution Under Guidance)</p><ul><li>Assist in building RAG-based GenAI solutions for enterprise use cases.</li><li>Develop Python-based services/APIs integrating LLMs.</li><li>Support data preprocessing, embeddings, and retrieval pipelines.</li><li>Contribute to model deployment and integration tasks.</li><li>Debug and improve existing pipelines under supervision.</li><li>Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</li></ul><p>Good to Have</p><ul><li>LangChain / LlamaIndex exposure</li><li>Cloud basics (Azure / AWS / GCP)</li><li>Basic understanding of CI/CD or MLOps concepts</li><li>Internship/project experience in GenAI or ML use cases</li></ul><p>Experience &amp; Qualification</p><ul><li>Bachelor's in Computer Science / Data Science or related field.</li><li>12 years of experience in AI/ML (including internships and project work).</li><li>Exposure to at least one end-to-end ML/GenAI project (academic and professional).</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for supporting the implementation, configuration, testing, integration, and maintenance of technology solutions and applications. The role works closely with project teams, developers, vendors, and business users to ensure that technical requirements are met, and systems operate efficiently and effectively.</p><p>Assist in the implementation, deployment, and integration of systems and technology solutions. Coordinate with internal servers and network team and explain IP subnetting and classes Basic understanding of IP address subnetting classes Basic understanding of VPN connections type in network Participate in technical design discussions and contribute to solution development activities. Support the configuration, testing, and deployment of applications and system enhancements. Review technical documentation and assist in validating system configurations and functionalities. Support software testing activities and verify that technical requirements are met. Assist in analyzing system issues and troubleshooting application defects. Participate in change request implementation activities, including configuration, testing, and deployment. Support developers and vendors during implementation and post-go-live activities. Monitor system performance and report technical issues, risks, and improvement opportunities. Assist in maintaining technical documentation, procedures, and support guides. Participate in incident management activities and root cause analysis exercises. Ensure compliance with IT standards, security requirements, and established procedures. Collaborate with internal stakeholders to understand business requirements and support solution delivery. Contribute to automation and process improvement initiatives where applicable.</p><p>Act as the primary technical liaison between business stakeholders, vendors, project teams, and internal IT departments to ensure successful project delivery. Schedule, facilitate, and lead project meetings, workshops, requirement-gathering sessions, technical discussions, and status review meetings with business users, vendors, and internal teams. Coordinate with vendor project managers and technical teams to ensure project deliverables, timelines, dependencies, and technical requirements are clearly understood and executed. Manage project communications and provide regular project status updates, risk assessments, and issue reports to management and stakeholders.</p><p>Coordinate with internal Network, Server, Security, Database, and Infrastructure teams to support project implementation and operational requirements. Lead infrastructure readiness activities, ensuring all network, server, storage, security, and connectivity requirements are completed before implementation. Design, review, and maintain IP addressing VLAN configurations, and network segmentation plans. Review and validate server specifications, operating system requirements, network configurations, load-balancing requirements. Work closely with server teams to provision and configure development, staging, and production environments. Coordinate server access, user permissions, service accounts, and infrastructure-related requirements for project teams and vendors. Monitor infrastructure dependencies and ensure all server, network, and security configurations align with project requirements.</p><p>Demonstrate strong understanding of VPN technologies, including Site-to-Site VPN, Client-to-Site VPN, SSL VPN connectivity. Coordinate VPN setup and connectivity between internal systems, cloud environments, third-party vendors, and external partners. Work with network and security teams to implement firewall policies, access control rules, NAT configurations, and secure communication channels. Ensure network connectivity between systems, applications, databases, and vendor environments is established and tested successfully. Coordinate security reviews and ensure all connectivity solutions comply with organizational security standards and policies.</p><p>Serve as the primary point of contact for vendors regarding technical, infrastructure, integration, network, and connectivity requirements. Coordinate daily with vendor project managers and technical teams to review project progress, discuss issues, and drive timely resolution of blockers. Assist vendors in resolving network connectivity issues, VPN configuration issues, server access requests, firewall-related issues, and system integration challenges. Coordinate implementation activities between vendors and internal IT teams throughout project initiation, execution, deployment, and project closure. Ensure vendor access requests, server access, VPN connectivity, and infrastructure requirements are processed and completed within project timelines. Review vendor technical documentation, architecture diagrams, integration specifications, and deployment plans. Validate vendor solutions to ensure compatibility with existing infrastructure, network, security, and enterprise architecture standards.</p><p>Participate in technical solution design discussions and contribute to application, infrastructure, and integration architecture decisions. Coordinate system integrations between internal applications, third-party platforms, cloud services, APIs, databases, and vendor solutions. Review and validate interface specifications, data mapping documents, API integrations, and technical design documents. Support application configuration, deployment, upgrades, enhancements, and Vendor production releases. Ensure all integration requirements are documented, tested, and successfully implemented.</p><p>Provide day-to-day technical coordination and support for project teams, vendors, developers, infrastructure teams, and business users. Monitor system performance, application availability, network connectivity, and project servers infrastructure health. Investigate and troubleshoot application, server, database, network, VPN, and integration-related incidents. Lead incident management, problem management, and root cause analysis activities. Coordinate with support teams and vendors to ensure timely resolution of production issues. Identify recurring issues and recommend corrective and preventive actions.</p><p>Maintain technical documentation, network diagrams, VPN configurations, server inventories, integration documents, and operational procedures. Prepare meeting minutes, issue logs, risk registers, project reports, and technical implementation documents. Ensure compliance with IT governance policies, cybersecurity standards, operational procedures, and regulatory requirements. Support audits, security reviews, and compliance assessments related to infrastructure and project activities.</p><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>MINIMUM EDUCATION, QUALIFICATIONS SKILLS</strong></p><p>Education: Bachelor s degree in computer science, Information Technology, Software Engineering, Computer Engineering, or a related field.</p><p>Experience: 0 3 years of experience in Information Technology, Software Development, System Support, System Implementation, or a related field. Fresh graduates with relevant internships or project experience may be considered.</p><p>Special Skills &amp; Knowledge: Basic understanding of software development and system implementation concepts. Knowledge of databases, operating systems, and application support. Familiarity with SDLC concepts and testing methodologies. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Ability to learn new technologies and adapt to changing environments.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Nama Water Services (Oman Water and Wastewater Services Company) is pleased to announce a "Training for Employment" , in collaboration with its contracted companies that offer permanent job opportunities in the water and wastewater sector.</p><p>Job Title: System Supply and Reporting Engineer</p><p>Reports To: IT Manager / Systems Manager</p><p>Job Details</p><p>Number of Vacancies: 3 Positions</p><p>Salary Range: OMR PHONE_NUMBER per month</p><p>Work Location: All governorates of Oman except Dhofar (Preference will be given to applicants from the local governorate)</p><p>Job Purpose</p><p>The System Supply and Reporting Engineer is responsible for managing system-related data, generating operational and management reports, supporting system performance, and ensuring the availability and accuracy of information required for business operations and decision-making.</p><p>Key Responsibilities</p><ul><li>Develop, maintain, and automate operational, technical, and management reports.</li><li>Monitor system performance and ensure data accuracy, integrity, and availability.</li><li>Collect, analyze, and interpret data from various systems to support business and operational requirements.</li><li>Design and maintain reporting dashboards and performance indicators.</li><li>Support system users by providing technical assistance related to reporting and data extraction.</li><li>Coordinate with internal departments to identify reporting needs and deliver effective reporting solutions.</li><li>Perform data validation and quality checks to ensure reliable reporting outputs.</li><li>Assist in system upgrades, testing, implementation, and integration activities.</li><li>Prepare technical documentation, user guides, and reporting procedures.</li><li>Ensure compliance with company policies, data governance standards, and information security requirements.</li><li>Identify opportunities to improve reporting processes and system efficiency.</li></ul><p>Qualifications</p><p>Bachelor s Degree in Information Technology, Computer Engineering, Computer Science, Telecommunications Engineering, Information Systems, or a related field.</p><p>Experience</p><p>Practical Experience: 0 (No prior work experience required)</p><p>Internship or academic projects in reporting, data analysis, or systems support are an advantage.</p><p>Technical Skills</p><ul><li>Proficiency in reporting and data analysis tools such as Power BI, SSRS, Tableau, or similar platforms.</li><li>Basic knowledge of SQL and database management systems.</li><li>Understanding of data extraction, transformation, and reporting processes.</li><li>Basic understanding of system administration and enterprise applications.</li><li>Familiarity with Microsoft Excel and Office applications.</li><li>Ability to analyze datasets and present findings clearly.</li></ul><p>Soft Skills</p><ul><li>Strong analytical and problem-solving skills.</li><li>Good communication and stakeholder management abilities.</li><li>Willingness to learn and develop technical skills.</li><li>Ability to manage multiple priorities and meet deadlines.</li><li>Good organizational and documentation skills.</li><li>High attention to detail and accuracy.</li></ul><p>Working Conditions</p><p>Office-based work environment.</p><p>May require support during system upgrades, maintenance activities, or critical reporting periods.</p><p>Application Note :</p><p>The applicant must be a job seeker.</p><p>The applicant must be an Omani national.</p><p>For applicants with previous work experience, at least three (3) months since their last employment movement recorded in the Ministry of Labour system, as of the date of this announcement.</p><p>The applicant must not have previously benefited from any training program funded by either the public or private sector.</p><p>The applicant must have no more than three (3) years of work experience.</p><p>The applicant must not be more than 38 years of age</p><p>The closing date is 3rd August 2026.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s Degree in Information Technology, Computer Engineering, Computer Science, Telecommunications Engineering, Information Systems, or a related field.</p><p>Practical Experience: 0 (No prior work experience required)</p><p>Internship or academic projects in reporting, data analysis, or systems support are an advantage.</p><p>Technical Skills</p><ul><li>Proficiency in reporting and data analysis tools such as Power BI, SSRS, Tableau, or similar platforms.</li><li>Basic knowledge of SQL and database management systems.</li><li>Understanding of data extraction, transformation, and reporting processes.</li><li>Basic understanding of system administration and enterprise applications.</li><li>Familiarity with Microsoft Excel and Office applications.</li><li>Ability to analyze datasets and present findings clearly.</li></ul><p>Soft Skills</p><ul><li>Strong analytical and problem-solving skills.</li><li>Good communication and stakeholder management abilities.</li><li>Willingness to learn and develop technical skills.</li><li>Ability to manage multiple priorities and meet deadlines.</li><li>Good organizational and documentation skills.</li><li>High attention to detail and accuracy.</li></ul><p>Application Note :</p><p>The applicant must be a job seeker.</p><p>The applicant must be an Omani national.</p><p>For applicants with previous work experience, at least three (3) months since their last employment movement recorded in the Ministry of Labour system, as of the date of this announcement.</p><p>The applicant must not have previously benefited from any training program funded by either the public or private sector.</p><p>The applicant must have no more than three (3) years of work experience.</p><p>The applicant must not be more than 38 years of age</p><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> <strong>JOB CONTENT</strong> </p> <p> </p> <p>Responsible for supporting software quality assurance activities throughout the Software Development Life Cycle (SDLC). The role assists in testing, validating, and verifying banking applications and technology solutions to ensure compliance with business requirements, functional specifications, and quality standards.</p> <p> </p> <p> <strong>2. Duties and Responsibilities</strong> </p> <ol> <li>Participate in software quality assurance activities throughout the Software Development Life Cycle (SDLC).</li> <li>Assist in preparing and maintaining test plans, test scenarios, test cases, and test execution documentation.</li> <li>Review business requirements, functional specifications, and user stories to understand testing requirements and ensure adequate test coverage.</li> <li>Execute functional, integration, system, regression, smoke, and User Acceptance Testing (UAT).</li> <li>Prepare and maintain test data required for testing activities.</li> <li>Record, track, and verify defects identified during testing cycles and support defect resolution activities.</li> <li>Perform API testing using approved testing tools such as Postman or similar platforms.</li> <li>Support database validation and data integrity testing activities using SQL queries.</li> <li>Participate in validating banking processes, digital channels, payment services, customer onboarding, account management, and related business functions.</li> <li>Assist in test automation activities and maintenance of automated test scripts where applicable.</li> <li>Support system deployment validation and post-implementation testing activities.</li> <li>Maintain testing evidence, reports, and quality assurance documentation.</li> <li>Participate in quality reviews and ensure compliance with established testing standards and procedures.</li> <li>Collaborate with developers, business users, vendors, and project teams to support successful solution delivery.</li> <li>Contribute to continuous improvement initiatives related to testing processes, quality assurance practices, and automation.</li> <li>Prepare testing progress updates and contribute to test summary and quality reports.</li> <li>The job holder may be required to undertake additional responsibilities depending on Management and Business requirements.</li> </ol> <p> </p> <p> <strong>KEY INTERACTIONS</strong> </p> <p>1. Internal</p> <p> </p> <p> Head of SME</p> <p> </p> <p> Section Head Client Relationship (Head Office)</p> <p> </p> <p> SME Client Relationship, Risk, Operations, Credit Administration and other functions as required</p> <p> </p> <p> Branch Manager and Branch Operations teams</p> <p> </p> <p>2. External</p> <p> SME clients and other external stakeholders as required.</p> <p> </p> <p> <strong>MINIMUM EDUCATION, QUALIFICATIONS SKILLS</strong> </p> <p> </p> <p>Education:</p> <p> Bachelor s degree in computer science, Information Technology, Software Engineering, Information Systems, or a related field.</p> <p>Experience:</p> <p> Minimum 1 year and up to 3 years of experience in Software Quality Assurance, Software Testing, Information Technology, Banking Systems, or a related field.</p> <p> </p> <p> Experience in testing banking applications, digital channels, payment systems, or financial applications is preferred.</p> <p> </p> <p> Familiarity with Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).</p> <p> </p> <p> Internship, project-based, or hands-on experience in Quality Assurance within banking or financial services environments will be considered an advantage. Fresh graduates with relevant internship, academic project, or practical training experience may be considered.</p> <p> </p> <p> Exposure to banking systems or financial services is an advantage. Fresh graduates with relevant internships or project experience may be considered.</p> <p> </p> <p>Special Skills &amp; Knowledge:</p> <p> </p> <p> Basic understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).</p> <p> </p> <p> Knowledge of software testing methodologies and defect management processes.</p> <p> </p> <p> Familiarity with test management and defect tracking tools such as Jira or Azure DevOps.</p> <p> </p> <p> Basic knowledge of API testing using Postman or similar tools.</p> <p> </p> <p> Basic SQL knowledge for database validation and testing.</p> <p> </p> <p> Familiarity with automation testing concepts and tools is an advantage.</p> <p> </p> <p> Understanding of Agile and Scrum methodologies is preferred.</p> <p> </p> <p> Knowledge of banking applications and digital channels is an advantage.</p> <p> </p> <p>KEY COMPETENCIES</p> <p> </p> <p> As specified in Job Competency Profile</p></div></section>