JD:
Robust knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
Design, implement, and optimize 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 settings, ensuring seamless deployment and operational efficiency.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
📌 Walk In Ai Ml Developer Chennai
🏢 Tata Consultancy Services
📍 Chennai
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