Role: Azure Machine Learning Engineer

Experience: 6-12 Years

Location: Chennai, Delhi.

Job Summary

We are looking for an experienced Azure Machine Learning Engineer to design, develop, deploy, and maintain scalable Machine Learning and AI solutions on Microsoft Azure. The ideal candidate should have expertise in Azure Machine Learning, Python, MLOps, Data Engineering, and Generative AI technologies to build intelligent, enterprise-grade solutions. Relevant Azure AI, Python, ML, and GenAI capabilities are reflected in internal role descriptions and candidate profiles.

Roles & Responsibilities-

- Design, develop, and deploy Machine Learning models on Azure.
- Build end-to-end ML pipelines using Azure Machine Learning.
- Develop data preprocessing, feature engineering, and model training workflows.
- Implement MLOps practices for model deployment, monitoring, and retraining.




- Work with Data Scientists and Business stakeholders to deliver AI solutions.
- Deploy and manage AI/ML models using Azure cloud services.
- Integrate ML solutions with enterprise applications and APIs.
- Monitor model performance and optimize scalability, accuracy, and cost.
- Implement security, governance, and Responsible AI best practices.

Mandatory Skills

- Azure Machine Learning (Azure ML)
- Python
- Machine Learning Algorithms
- SQL
- Azure Data Factory (ADF)
- Azure Databricks
- MLOps
- Git, CI/CD
- Azure Storage (Blob, Data Lake)
- REST APIs
- Scikit-learn, Pandas, NumPy
- Model Deployment & Monitoring

Preferred Skills

- Azure OpenAI
- Generative AI
- LLMs (GPT, Llama, Claude)
- LangChain
- RAG Architecture
- Prompt Engineering
- Azure AI Foundry
- Docker & Kubernetes (AKS)
- Spark / PySpark

📌 Azure machine learning (Chennai)
🏢 Tata Consultancy Services
📍 Chennai