- Solid 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 environments, 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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