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.
Robust 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 (India)
🏢 Tata Consultancy Services
📍 India