AI Engineer

Technical skills and qualifications:

• BS or MS in Computer Science, Engineering, or related fields

• Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)

• Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.

• Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.

• Strong understanding of NLPs, LLMs and RESTful API integration.

• Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI

• Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques

• Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.

• Experience integrating AI with applications using Python frameworks( FastAPI, Django, Flask ), task queues, and observability.

• Intermediate programming skills in Python with a focus on developing secure and scalable AI solutions.

Preferred qualifications:

• Microsoft Certified: Azure AI Engineer Associate or equivalent

• Databricks Certified: Generative AI Engineer Associate or equivalent

• Experience with Prompt engineering and AI lifecycle management.

• Knowledge of DevOps/MLOps practices for AI model deployment on Azure.

• Familiarity with agile methodologies and CI/CD pipelines in Azure DevOps and GitHub.