Senior Developer - Azure AI Foundry (Dubai)

Architect and implement scalable AI solutions on Azure leveraging services like Azure Machine Learning Azure OpenAI and Azure Databricks Lead the design and development of complex AI models including LLMs computer vision and natural language processing tailored for specific business needs Drive the integration of AI capabilities into existing enterprise applications and workflows ensuring seamless deployment and adoption Optimize AI models for performance cost-efficiency and reliability within the Azure cloud environment Mentor junior developers and data scientists fostering a culture of innovation and best practices in AI development Collaborate with product managers and stakeholders to translate business requirements into robust AI solutions Stay abreast of the latest advancements in AI research and Azure AI services proactively identifying opportunities for innovation Develop and maintain CI CD pipelines for AI models ensuring automated testing deployment and monitoring Troubleshoot and resolve complex technical issues related to AI model performance and Azure infrastructure Contribute to the development of reusable AI components and frameworks to accelerate future project delivery

8+ years of professional software development experience, with at least 3 years focused on AI/ML solutions. Proven expertise in developing and deploying machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with Azure AI services, including Azure Machine Learning, Azure OpenAI, Azure Cognitive Services, and Azure Databricks. Strong understanding of MLOps principles and tools for model lifecycle management. Excellent problem-solving skills and the ability to architect complex, scalable AI systems. Proficiency in cloud-native development practices and containerization technologies (e.g., Docker, Kubernetes). Exceptional communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences. Experience working in a fast-paced, agile development environment. Familiarity with data engineering principles and working with large datasets.