Role & responsibilities

- Robust knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
- Design, implement, and opti mize generative AI architectures and models.
- Build Agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.
- Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
- Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
- Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
- Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.

Preferred candidate profile Experience- 4 to 15 years

📌 Walk-in || Chennai Walk in AI/ML Developer
🏢 Tata Consultancy Services
📍 Chennai