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Tata Consultancy Services · Hyderabad

# AI ML Engineer

Hyderabad Operations 

Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since.
[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/420216J)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / AI ML Engineer

## Job description

### Role

AI/ML Engineer Location: Hyderabad, Noida, Pune Exp range: 5-10 years Job responsibilities: Build and deploy ML models for production, leveraging deep learning for NLP, NLU, ASR, and computer vision. Utilize agentic AI frameworks (LangChain, LangGraph) and optimize GenAI models with RAG, Transformers, and VectorDBs. Manage large-scale training/inference using Databricks and PySpark; perform advanced statistical analysis and dimensionality reduction.

Develop scalable AI platforms, integrate ML solutions via REST APIs, Docker, and cloud services (Azure/AWS).

### Required skills

Experienced AI/ML professional with 8+ years overall experience and 3+ years in deploying AI projects to production. Skilled in Agentic AI frameworks (LangGraph, LangChain), Large Language Models (LLMs), RAG, and Transformer architectures. Proficient in Python, ML techniques (supervised, unsupervised, reinforcement learning, NLP), and cloud platforms (Azure/AWS) including services like Databricks, AKS/EKS, and Cognitive Services.

Hands-on expertise in containerization (Docker, Kubernetes), CI/CD pipelines (GitHub Actions), and LLM libraries (Hugging Face, OpenAI API).

## Qualifications

BACHELOR OF ENGINEERING

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Aug 1, 2026
- Last checked: Aug 1, 2026
- Listed for: Under a day
- Location: Hyderabad[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/420216J)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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