Role & responsibilities

7+ years of experience

. 3+ years in AI/Gen AI

. 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

. 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

. Fine-tune and optimize AI models for specific applications, focusing on improving accuracy, efficiency, and scalability

. Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance

. Implement MLOps, LLMOps,



AgentOps best practices for continuous integration and deployment (CI/CD) of AI models, including monitoring, logging, and version control

. Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras)

. Knowledge of LangChain, Phoenix, MLFlow, LangGraph, Google Agent Development Kit

. Knowledge of implementing AI solutions using Agentic approach, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), etc.
Experience in developing and deploying AI/Gen AI based systems in production

. Provide technical guidance and mentorship to junior engineers and team members

Preferred candidate profile

📌 Ml Engineer Maharashtra
🏢 Tata Consultancy Services
📍 Maharashtra