Machine Learning Engineer

Tata Consultancy Services; Hyderabad, Pune District, Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Tata Consultancy Services seeks a senior AI/GenAI specialist to design, develop, and deploy scalable AI systems for production use. You will implement modern AI architectures, leverage cloud platforms, and drive end-to-end deployment with MLOps practices.

The role demands deep expertise in generative models, NLP, and containerized CI/CD pipelines, with a focus on reliability, monitoring, and governance of AI solutions.

Qualifications

• 7+ years of experience in AI/GenAI
• Strong knowledge of ML, NLP, and generative models
• Experience deploying AI solutions on cloud platforms (AWS/Azure/GCP)
• Implement MLOps, LLMOps, AgentOps for CI/CD of AI models
• Proficiency in Python and at least one of .Net/Java with ML libraries

Skills

GenAI expertise

AI methodologies

MLOps

CI/CD

Tools

Python

TensorFlow

PyTorch

Keras

LangChain

MLFlow

LangGraph

Google Agent Development Kit

Job description

Role & responsibilities

Experience: 7-18 years

Location: PAN India

Job Requirements

• 7+ years of experience
• 3+ years in AI/GenAI
• Strong 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
• 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.

Preferred candidate profile