Azure AI/ML Engineer

TCS · Chennai

Source and collection record

Last observed by our collector: 9 October 2026 at 1:11 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 432062

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected minimum qualification: BACHELOR OF ENGINEERINGAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

JD: Azure AI/ML Engineer Years of Exp: 5 to 10 years Location: Chennai Essential Skills / Knowledge / Experience 5–8 years of experience in software engineering or AI/ML development, with at least 4+ years working with Azure AI services. Strong hands-on experience with Python for backend development, AI pipelines, and LLM integrations. Strong hands-on experience with Azure AI Document Intelligence including extraction, forms, OCR, and classification. Deep understanding of Azure OpenAI, including GPT models, embeddings, chat completions, prompt engineering, and content safety. Practical experience using Azure AI Foundry for building, testing, and operationalizing AI apps. Experience building AI solutions in cloud-native Azure environments including: Azure Functions Azure API Management (APIM) Azure Resource Groups Azure Storage Accounts App Insights Azure App Service Azure Key Vault Hands-on experience making calls to LLM APIs (chat completions, embeddings, model inference endpoints) and integrating them into applications. Experience architecting and implementing RAG systems using Azure Cognitive Search or vector index stores. Strong programming experience in Python or C# (Node.js acceptable) for backend microservices and integrations. Practical experience with Azure services including Logic Apps, Event Grid, Storage, Functions, and automated workflows. Solid knowledge of Responsible AI, privacy, compliance, and secure deployment models. Strong debugging and optimization skills for AI workloads (cost, latency, throughput). Hands-on experience with Azure DevOps, Git repositories, CI/CD pipelines, IaC, and deployment automation. Strong analytical, communication, and stakeholder management skills. Desirable Skills / Knowledge / Experience Experience using vector databases such as Azure Cosmos DB with vector indexing, Redis Enterprise, or Pinecone. Familiarity with multi-agent AI architectures, orchestration frameworks, and agentic workflows. Exposure to Power Platform AI Builder and low-code AI integrations. Understanding of NLP techniques including entity extraction, embeddings, semantic search, text analytics, and conversation design. Experience with frameworks like LangChain, Semantic Kernel, or LlamaIndex. Certifications such as: Azure AI Engineer Associate (AI-102) Azure Fundamentals(AZ-900)

Collected minimum qualification

BACHELOR OF ENGINEERING

Collected experience requirement

5 - 10 Years