- AI/ML Development: Design, implement, and maintain machine learning models, including deep learning, reinforcement learning, and transformer-based architectures. Develop GenAI/LLM pipelines and enable retrieval-augmented generation (RAG) workflows
- Data Engineering: Build scalable data pipelines for real-time and batch ingestion, transformation, and feature engineering. Optimize ETL/ELT pipelines in cloud data warehouses like Snowflake or Redshift
- MLOps: Implement model versioning, CI/CD pipelines, automated training, deployment, and monitoring to ensure production stability
Preferred candidate profile
📌 Ai Ml Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad
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