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Salary
≈ $26k – $56k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 31, 2026.

Overview
Company
Impact
Profile match
Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
Backed by Seafund

Job Description

  • Skill Set :

    AI and Gen AI Architecture

  • Total Experience :

    7.00 to 10.00 Years

  • No of Openings :

    1

  • Job Post Date :

    14/10/2026

  • Job Expiry Date :

    11/11/2026

  • Domain :

    IT

  • Location :

    BENGALURU [India]

  • Job Reference No :

    4112943

Job Summary

Lead Data Scientist

Function

Digital Business & Technology (DB&T)

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Employment Type (Full Time/Part Time)

Full Time

Primary Work Location

Whitefield, Bangalore

Role Summary

(Purpose: why this role exists?)

We are seeking a highly motivated and skilled Data Scientist to join our team and contribute to the development and deployment of AI/GenAI/ML pipelines within the AWS cloud environment. This role will involve both GenAI and Python development responsibilities. The ideal candidate will possess a strong foundation in data AI and data science, experience with AWS, and proficiency in Python programming.

Essential Responsibilities / Expectations

•                    6 8 years of experience in AI/ML including 2 3 years of experience in GenAI technology.

•                    Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling.

•                    Proficiency in programming languages such as Python

•                    Knowledge of prompt engineering techniques and best practices.

•                    Hands on Experience with building and deploying ChatBot AI assistants using the RAG framework.

•                    Familiarity with vector databases (e.g., Pinecone, ChromaDB) for RAG implementation.

•                    Good working knowledge of AI Agents and Agentic AI framework

•                    Experience with MCP, MultiAgent Frameworks.

•                    Experience with Memory Management and Context Engineering for Conversational Agents

•                    Familiarity in developing and deploying E2E AI solutions in cloud platforms (AWS)

•                    Should be proficient in using AI enabled coding tools e.g. github copilot, etc.

•                    Familiarity with version control systems (e.g., Git, Gitlab).

•                    Strong problem solving and analytical skills.

•                    Excellent communication and collaboration abilities.

•                    Ability to work in an Agile development environment

•                    A strong desire to learn and contribute to a fast paced, innovative environment.

Educational

Qualification

Master's degree in Computer Science, Data Science, Statistics, or related field

Experience Required (Min ‿ Max year)

•                    6 8 years of experience in AI/ML including 2 3 years of experience in GenAI technology.

Desired Skills

•             Experience with GenAI, Data Science, Python, AWS, JIRA, Agile

•             Passion for the environment

•             Self learner

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