- Proficient in Python programming
- Hands-on experience with ML Models

- Solid knowledge of machine learning algorithms and techniques

- Familiarity with data preprocessing and feature engineering

- Experience with libraries such as TensorFlow, PyTorch, scikit-learn and XGBoost etc.

- Ability to deploy and manage ML models in production

- Develop and implement machine learning models, including advanced use of Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis and conversational AI.

- Create end-to-end ML pipelines, ensuring automation of training, deployment, testing, and monitoring.

- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions, ensuring compliance with security and privacy standards.

- Optimize and fine-tune ML models for performance, scalability, and cost efficiency.

- Proven success in building conversational AI agents, integrating LLMs, and deploying custom ML models on GCP.

📌 ML Ops (Chennai)
🏢 Tata Consultancy Services
📍 Chennai