AI / ML Engineer

Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills :Microsoft Azure AI foundry

Good to have skills :Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education

Summary: As an Azure AI Engineer, you will engage in the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. You will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsofts AI ecosystem.

Roles Responsibilities:

Serve as the developer for Microsoft Azure AI Foundry and Agentic AI .

Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry.

Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption.

Ensure AI workloads meet enterprise security, compliance, and governance requirements.

Ensuring accountability and high-quality delivery.

Provide scalable solutions for multi-team AI initiatives across the enterprise.

Monitor solution performance, optimize pipelines, and align outcomes with business goals.

Professional Technical Skills:

Proven expertise in Microsoft Azure AI Foundry and Agentic AI (minimum 3 years hands-on experience in Azure AI/ML technologies)

Strong understanding of AI governance, observability, and compliance frameworks.

Experience designing and deploying AI pipelines on Microsoft Azure.

Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.).

Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency.

Familiarity with regulatory requirements for enterprise AI adoption.

Additional Information:

The candidate should have minimum 3 years of experience in Azure AI/ML technologies.

A 15 years full time education is required.

Qualification 15 years full time education