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GenAI Engineer - Tata Consultancy Services (TCS)
AI Engineer
Lead the design and deployment of Generative AI solutions for banking, focusing on fraud detection, risk modeling, and customer analytics using Python, ML, and LLMs with RAG and scalable data pipelines.
About the role
Key Responsibilities
- Design, build, fine‑tune, and deploy ML models and LLMs for credit scoring, AML, and automation in banking.
- Implement Retrieval‑Augmented Generation (RAG) based GenAI applications leveraging internal banking data.
- Develop and maintain scalable data pipelines for training, validation, and real‑time inference.
- Collaborate with risk, compliance, finance, and business stakeholders to translate requirements into AI solutions.
- Ensure regulatory compliance, AI governance, and data security through robust privacy and access controls.
- Integrate AI models into production environments via APIs and microservices, monitoring performance and reliability.
Requirements
- Strong experience in Python and machine learning frameworks (TensorFlow, PyTorch).
- Hands‑on expertise with large language models, prompt engineering, and RAG techniques.
- Proficiency in building data pipelines and working with cloud platforms (AWS, Azure, or GCP).
- Knowledge of banking domain, fraud detection, risk modeling, and regulatory standards.
- Excellent communication skills and ability to work cross‑functionally.
Skills
pythonmachine learninggenerative airag