Sr Lead AI Engineer

• Requirement Analysis:Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals.
• Development and Implementation:Lead AI solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner.
• Security and Compliance:Ensure AI solutions adhere to security best practices and data privacy regulations.
• Documentation and Training:Create technical documentation and best practice guidelines. Provide training on AI technologies.
• Monitoring and Maintenance:Implement monitoring to track AI solution performance and proactively address issues.
• Architecture:Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure.
• Development and Implementation:Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes.
• Quality Assurance and Testing:Execute comprehensive testing strategies and resolve defects.
• Integration and System Connectivity:Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability.
• Documentation and Change Management:Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development.

What you need:

Required Qualifications:

• Minimum 10 years in AI or data science roles, with a focus on building AI solutions on Azure.
• Proficient in Python or C#, with strong Azure cloud expertise.
• Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions).
• Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models.
• Preferred Qualifications:Knowledge of DevOps practices, CI/CD pipelines
• Azure certifications such as Azure AI Engineer Associate are a plus.
• Bachelor s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Masters degree in Science preferred).