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Salary
≈ $14k – $35k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026.

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: Data Science. Experience: 4 - 10 Years. Qualification: Bachelor Of Engineering

Skill- Data Science Engineer

Exp- 4 to 10 years

Location- Hyderabad

JD

Core Programming & Tools

  • Hands-on

experience building and deploying ML models on large-scale production datasets

  • Strong

programming proficiency in Pythonwith production-quality, well-structured code

  • Proficient in SQL; experience

working with large-volume datasets in Sparkand/or Snowflake

  • Experience with Gitfor version

control, code review, and collaboration

  • Familiarity with

experiment tracking and model versioning (e.g., MLflow)

Classical ML & Statistical

Modeling

  • Time series

forecasting (ARIMA, Prophet, deep learning approaches)

  • Optimization

modeling (linear programming, mixed-integer programming)

  • Classification,

regression, clustering, and ensemble methods

  • Feature

engineering, data wrangling, and statistical analysis on structured data

LLM Application & AI Agent

Development

  • AI Agent

development: experience building agentic frameworks using Azure AI Studioand Azure model endpoints,

including tool-use patterns and multi-step orchestration

  • RAG pipeline

development: document ingestion/chunking, vector embedding/indexing (Azure AI Search),

and response generation using LLM endpoints

  • Prompt

engineering and chain-of-thought design for complex supply chain workflows

Experience with orchestration frameworks like LangChainor

LlamaIndex

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