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Salary
≈ $19k – $39k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 2, 2026. Tata Consultancy Services scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Engineer. Skills: Python. Experience: 5 - 10 Years. Qualification: Bachelor Of Arts

Role :AI Compass AI ML Engineer - Level 3

Exp Range ; - 5 - 10 Yrs

Location : Mumbai

Must Have :

Programming: Python (strong), SQL

ML Frameworks: Scikit-learn, TensorFlow / PyTorch

GenAI / LLMs: OpenAI / Azure OpenAI, LangChain, vector databases

Data Engineering: ETL pipelines, data modeling, data validation

Cloud: Azure / AWS / GCP (at least one)

Design, develop, and deploy machine learning models for prediction, classification, and optimization use cases

Apply supervised, unsupervised, and time-series techniques

Evaluate models using appropriate metrics (accuracy, precision/recall, RMSE, Sharpe ratio, etc.)

Build and optimize LLM-based applications (chatbots, assistants, summarization, Q&A)

Implement Retrieval Augmented Generation (RAG) using vector databases

Work with prompt engineering, model evaluation, and LLM guardrails

Integrate LLMs with tools, APIs, and enterprise systems

Perform feature engineering and model tuning

Participate in code reviews and contribute to architecture decisions.

Experience with financial domain data (risk, portfolio, pricing, forecasting)

Knowledge of model evaluation frameworks and LLM-as-judge concepts

Exposure to Hugging Face, fine-tuning, or open-source LLMs

Experience with Spark / Databricks

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