Walkin Drive-19 Sep-Chennai -AI ML Developer

Tata Consultancy Services; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Tata Consultancy Services is inviting candidates for an AI ML Developer role in Chennai. The position requires strong expertise in AI methodologies including generative models, ML, reinforcement learning, and NLP.

You will design and deploy AI architectures, build agentic AI solutions with LLMs, and collaborate with data scientists to manage large datasets. Proficiency in Python and Java or .NET, plus hands-on work with TensorFlow, PyTorch, and Keras, is essential.

Qualifications

• Strong knowledge of AI methodologies including generative models, ML, RL and NLP.
• Experience with end-to-end AI/ML engineering from data preprocessing to model deployment.
• Proficiency in Python and at least one of Java or .NET; familiarity with ML libraries.

Responsibilities

• Design, implement, and optimize generative AI architectures and models.
• Build Agentic AI solutions using LLMs with tool calls, memory, and orchestration.
• Collaborate with data scientists to collect and preprocess large datasets for model training.
• Integrate AI models into production environments ensuring deployment efficiency.
• Experience with cloud platforms (AWS, Azure, GCP) for scalable AI deployments.
• Hands-on experience with model training, evaluation and production optimization.

Skills

Generative AI

ML

NLP

Reinforcement Learning

Python

Java/ .NET

Tools

TensorFlow

PyTorch

Keras

AWS

Azure

GCP

Job description

Inviting Application for Walkin Interview Drive-19 Sept-Chennai

Role: AI ML Developer

Exp: 4-15 years

Registration Time: 9:30-12:30pm

Location: TCS -Magnum Block IT SEZ Phase-2, 200 Feet Radial Road, MCN Nagar Extension,Thoraipakkam, Chennai - 600097

Role & responsibilities:

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).