TensorFlow Jobs in Oman

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Area &amp; Key Responsibilities</strong></p><p><strong>Research &amp; Innovation</strong></p><ul><li>Conduct high-impact AI research aligned with AIAC's strategic themes, including healthcare, Energy, natural Resources, Education, and NLP.</li><li>Develop novel models, algorithms, and architectures that address real-world challenges in Oman and the broader GCC region.</li></ul><p><strong>Platform &amp; System Development</strong></p><ul><li>Design and build AI-powered applications and platforms.</li><li>Contribute to active projects under AIAC, including diagnostic AI systems, smart communication tools, and applied data science solutions for government and industry.</li></ul><p><strong>Grant Proposal Writing</strong></p><ul><li>Co-author and lead research grant proposals targeting national (TRC, URG) and international funding bodies.</li><li>Manage deliverables and milestones for funded projects.</li></ul><p><strong>Publication &amp; Dissemination</strong></p><ul><li>Publish research outcomes in high-quality peer-reviewed journals and present at international conferences.</li><li>Represent AIAC at academic and industry events globally.</li></ul><p><strong>Mentorship &amp; Training</strong></p><ul><li>Supervise graduate students and junior researchers.</li><li>Contribute to AI training programs and workshops aimed at capacity building across academic and professional communities.</li></ul><p><strong>Collaboration &amp; Partnerships</strong></p><ul><li>Engage with national institutions, industry partners, and international collaborators (including partner universities and research networks) to broaden AIAC's research impact and visibility.</li></ul><p><strong>Core Technical Skills &amp; Tools</strong></p><p><strong>AI/ML Frameworks</strong></p><ul><li>Python, R / TensorFlow / Keras / PyTorch / Scikit-learn</li><li>Hugging Face Transformers</li></ul><p><strong>Research Domains</strong></p><ul><li>Computer Vision / Natural Language Processing / Explainable AI (XAI) / Healthcare &amp; Clinical AI / GeoAI / Remote Sensing</li></ul><p><strong>Data &amp; Dev Tools</strong></p><ul><li>SQL / NoSQL Databases / Docker / Cloud (AWS, Azure) / Node.js / REST APIs / Git / GitHub</li></ul><p><strong>Personal Attributes &amp; Professional Competencies</strong></p><ul><li>Self-motivated, with a high capacity for independent and collaborative research.</li><li>Strong analytical and problem-solving mindset applied to real-world AI challenges.</li><li>Excellent interpersonal skills and ability to work within multicultural, international teams.</li><li>High ethical standards in research, data governance, and AI deployment.</li><li>Commitment to knowledge transfer and training of the next generation of AI professionals.</li><li>Adaptability and resilience in a dynamic, fast-evolving research environment.</li></ul><p><strong>Application Process</strong></p><ul><li>Updated curriculum vitae (CV) including full publication list.</li><li>Cover letter describing your research vision and alignment with AIAC priorities.</li><li>Copies of three representative publications or technical reports.</li><li>Names and contact details of three academic or professional referees.</li><li>Certified copy of PhD degree certificate and academic transcripts.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>PhD in the field of specialization (Master s degree &amp; Bachelor's degree should be in the same field of general specialization) from a recognized university.</li><li>Strong publication record in peer-reviewed AI/ML venues (IEEE, ACM, Springer, etc.)</li><li>Demonstrated expertise in machine learning, deep learning, or NLP.</li><li>Hands-on AI/ML development skills (Python,TensorFlow, PyTorch, or equivalent).</li><li>Ability to independently lead and manage research projects.</li><li>Excellent written and oral communication skills in English.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience in Explainable AI (XAI), GeoAI, or Healthcare AI</li><li>Familiarity with GIS, remote sensing, or satellite imagery analysis</li><li>Experience developing AI-powered platforms or clinical decision support systems</li><li>Knowledge of SHAP, LIME, TabNet, or similar interpretable ML tools</li><li>Prior grant writing or research funding acquisition experience</li><li>Experience mentoring graduate students or junior researchers</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Deliver undergraduate and postgraduate courses in Artificial Intelligence, Machine Learning, NLP, Programming (Python &amp; C++), and Web Development.</p> <ul> <li>Develop and update course materials, assessments, and laboratory exercises aligned with industry trends.</li> <li>Supervise student projects, including capstone projects, AI-based applications, and research initiatives.</li> <li>Engage in research, publication, and innovation activities in AI/ML and related domains.</li> <li>Provide academic advising and mentorship to support student success and career development.</li> <li>Participate in curriculum development, accreditation (OQF), and quality assurance activities.</li> <li>Collaborate with industry partners to incorporate real-world applications and emerging technologies into teaching.</li> </ul> <p><strong>FURTHER REQUIREMENTS</strong></p> <ul> <li>Clear teaching philosophy focused on fostering critical thinking, inclusivity, and lifelong learning</li> <li>A strong commitment to teaching excellence and student-centered learning</li> <li>Ability to integrate theoretical knowledge with practical cybersecurity applications</li> <li>Engagement in interdisciplinary collaboration and innovation.</li> <li>Effective communication skills, as all teaching and academic activities are conducted in English</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>PhD in Artificial Intelligence, Machine Learning</p> <p>More than 6 years of Teaching experience and additional Industrial experience</p> <p>Proficiency in b&gt;English /b&gt; is a must.</p> <p>Must have strong specialization in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). Proficiency in Python programming, Object-Oriented Programming (OOP) using C++, and modern software development practices.</p> <p> Professional Qualification</p> <ul> <li>TensorFlow Developer Certificate,</li> <li>Microsoft Certified Azure AI Engineer Associate,</li> <li>IBM AI Engineering Professional Certification etc.</li> </ul> <p>First Preference:</p> <p>Omani candidate</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity </b></p><br><p>We are looking for an ML powerhouse to join us in beautiful Muscat! If you’re a Senior ML Engineer who loves getting under the hood of high-performance computing (HPC) and hardware acceleration to solve massive business challenges, we want to chat. ?</p><br><p>This isn't just about building models; it’s about leading the charge on design, optimization, and deployment at scale. You’ll be our go-to expert for turning complex problems into sleek, AI-driven reality.</p><br><p>​</p><br><p><b>Discover the Role</b></p><br><ul><li><p><b>Building the Engine: </b>Architecting production-ready ML pipelines from scratch—from training all the way to deployment.</p><br></li><li><p><b>Pushing Limits: </b>Optimizing workloads using CUDA, cuDNN, and Nvidia TensorRT to make sure everything runs lightning-fast.</p><br></li><li><p><b>The Heavy Lifting: </b>Doing the deep-dive data analysis and feature engineering needed for top-tier datasets.</p><br></li><li><p><b>Leading the Pack: </b>Mentoring junior engineers, heading up code reviews, and making sure we’re always following best practices.</p><br></li><li><p><b>Collaborating: </b>Working closely with stakeholders to turn business needs into technical wins.</p><br></li><li><p><b>Staying Sharp: </b>Keeping us on the cutting edge by staying obsessed with the latest AI/ML advancements.</p><br></li></ul><p>​</p><br><p><b>Discover the Required</b></p><br><ul><li><p>5+ years of hands-on experience developing and deploying ML models.</p><br></li><li><p>A pro with Python, TensorFlow, and PyTorch.</p><br></li><li><p>Experience with tools like MLflow or Kubeflow.</p><br></li><li><p>Advanced skills in Docker, REST APIs, and Git.</p><br></li><li><p>Someone who knows their way around Nvidia Nsight, PyTorch Profiler, or Tensorboard for optimization.</p><br></li><li><p>Experience deploying AI solutions on AWS, GCP, or Azure.</p><br></li><li><p>Strong leadership vibes and the ability to explain "techy" things to non-techy people.</p><br></li><li><p>A Bachelor’s or Master’s in Computer Science, Data Science, or a related field.</p><br></li></ul><p>​</p><br><p><b>​Relocation support will be provided.</b></p><br><br> </div>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (2+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern computer vision architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-premises environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (2+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern computer vision architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-premises environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></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>