AI ML Developer

Tata Consultancy Services; Pune District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Tata Consultancy Services is seeking an AI ML Developer in Pune with 4 to 12 years of experience. The role focuses on generative AI, ML, and NLP, and involves building scalable AI architectures, LLM-driven workflows, and production-ready solutions.

You will collaborate with data scientists, ensure data quality, and deploy AI models across cloud platforms (AWS/Azure/GCP) to deliver high availability and performance in real-world applications.

Qualifications

• Experience with building generative AI architectures and models.
• Hands-on expertise in end-to-end AI/ML engineering for production systems.
• Familiarity with LLM tool/function calling and orchestration.

Responsibilities

• Design, implement, and optimize generative AI models and architectures.
• Develop Agentic AI solutions using LLMs and MCP for production use.
• Collaborate with data scientists to prepare data and validate model performance.
• Deploy AI models on cloud platforms with scalable, reliable pipelines.
• Integrate AI solutions into production environments and ensure efficiency.

Skills

Generative AI

Machine Learning

Reinforcement Learning

NLP

Python

Java

.NET

TensorFlow

PyTorch

Keras

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

About the Unit:

TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI, it enables organizations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage.

Role - AI ML Developer

Location - Pune

Experience - 4 to 12 years

Job description

• 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.
• 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.
• Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).