Azure Machine Learning (ML)

Tata Consultancy Services; Hyderabad, Pune District, Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services is seeking a hands-on AI/ML engineer to work Pan India from Hyderabad. The role requires expert Python, experience with Azure OpenAI and LangChain, and strong MLOps skills to build and deploy LLM-powered solutions.

You will work in an Agile environment, collaborating across teams to design, implement, test, and iterate AI/ML features using Azure data services and modern tooling. Excellent communication is essential.

Qualifications

• 3-4+ years in a hands-on AI/ML or software development role.
• Hands-on development with Azure OpenAI Service and Azure AI Studio.
• Experience with LangChain and Semantic Kernel.
• Expert-level Python programming.
• Experience with vector databases (e.g., FAISS or Azure Cognitive Search) and implementing RAG patterns.
• Strong MLOps on Azure, including CI/CD pipelines (Azure DevOps, GitHub Actions) and Azure Machine Learning.
• Experience with Azure data and integration services (Azure Data Lake, Azure Functions, API Management, Logic Apps).
• Strong understanding of LLM fundamentals, prompt engineering, and fine-tuning techniques.
• Strong problem-solving, debugging, and analytical skills.
• Experience in Agile/Scrum development environments.
• Excellent communication and teamwork.

Skills

Python

LLM Fundamentals

Prompt Engineering

Agile/Scrum

Communication

Tools

LangChain

Semantic Kernel

Azure OpenAI Service

Azure AI Studio

Azure DevOps

GitHub Actions

FAISS

Azure Data Lake

Azure Functions

API Management

Logic Apps

Job description

Location- Pan India

Preferred candidate profile

• 3-4+ years in a hands-on AI/ML or software development role.
• Proven, hands-on development experience with:
• Azure OpenAI Service and Azure AI Studio
• LLM Orchestration frameworks (LangChain, Semantic Kernel)
• Expert-level Python programming
• Vector databases (e.g., Azure Cognitive Search, FAISS) and implementing RAG patterns
• Strong, practical experience with MLOps on Azure, including CI/CD pipelines (Azure DevOps, GitHub Actions) and Azure Machine Learning.
• Solid experience with Azure data and integration services (e.g., Azure Data Lake, Azure Functions, API Management, Logic Apps).
• Strong understanding of LLM fundamentals, prompt engineering, and fine-tuning techniques.
• Strong problem-solving, debugging, and analytical skills.
• Experience working in Agile/Scrum development environments.
• Excellent communication skills and a collaborative, team-oriented mindset.