{"id":3571616,"url":"https://alion.io/job/tech-mahindra-lead-data-scientist-5","title":"Lead Data Scientist","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"closed","first_seen_at":"2026-10-31T17:35:38Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-04T08:14:47Z","board_verified":false,"closed_at":"2026-11-04T08:14:47Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Description\n\nSkill Set :\nAI and Gen AI Architecture\n\nTotal Experience :\n7.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n14/10/2026\n\nJob Expiry Date :\n11/11/2026\n\nDomain :\nIT\n\nLocation :\nBENGALURU [India]\n\nJob Reference No :\n4112943\n\nJob Summary\n\nLead Data Scientist\n\nFunction\n\nDigital Business & Technology (DB&T)\n\nÂ\n\nÂ\n\nÂ\n\nÂ\n\nEmployment Type (Full Time/Part Time)\n\nFull Time\n\nPrimary Work Location\n\nWhitefield, Bangalore\n\nRole Summary\n(Purpose: why this role exists?)\n\nWe 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.\n\nEssential Responsibilities / Expectations\n\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 6 8 years of experience in AI/ML including 2 3 years of experience in GenAI technology.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Proficiency in programming languages such as Python\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Knowledge of prompt engineering techniques and best practices.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Hands on Experience with building and deploying ChatBot AI assistants using the RAG framework.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Familiarity with vector databases (e.g., Pinecone, ChromaDB) for RAG implementation.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Good working knowledge of AI Agents and Agentic AI framework\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Experience with MCP, MultiAgent Frameworks.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Experience with Memory Management and Context Engineering for Conversational Agents\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Familiarity in developing and deploying E2E AI solutions in cloud platforms (AWS)\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Should be proficient in using AI enabled coding tools e.g. github copilot, etc.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Familiarity with version control systems (e.g., Git, Gitlab).\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Strong problem solving and analytical skills.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Excellent communication and collaboration abilities.\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Ability to work in an Agile development environment\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â A strong desire to learn and contribute to a fast paced, innovative environment.\n\nEducational\nQualification\n\nMaster's degree in Computer Science, Data Science, Statistics, or related field\n\nExperience Required (Min â€¿ Max year)\n\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 6 8 years of experience in AI/ML including 2 3 years of experience in GenAI technology.\n\nDesired Skills\n\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Experience with GenAI, Data Science, Python, AWS, JIRA, Agile\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Passion for the environment\nâ€¢Â Â Â Â Â Â Â Â Â Â Â Â Â Self 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