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    Home/Jobs/Generative AI

    Generative AI

    Infosys

    Bengaluru
    3-5 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    LLM
    RAG
    Embeddings
    Vector Database
    Prompt Engineering
    Python
    AI/ML
    MLOps
    Databricks

    Description

    Generative AI role in Infosys Limited, Bangalore, with 3-5 years of experience required.

    Company: Infosys Limited

    Role: Generative AI

    Location: Bangalore

    Experience:

    • 3 - 5 Years
    • 3–5 years of professional experience delivering Python-based solutions, including AI/ML or Generative AI components

    Key Skills:

    • Python
    • AI/ML
    • Generative AI
    • prompt engineering
    • evaluation
    • iterative improvement
    • ML pipelines
    • data preparation
    • training
    • inference
    • monitoring
    • model experimentation
    • feature engineering
    • performance tuning

    Qualification:

    • Bachelor of Engineering
    • BTech
    • BSc
    • BCA
    • MTech
    • MCA
    • MSc
    • Bachelor’s degree in engineering or computers or AI

    Role Focus:

    • Partner with client stakeholders to understand business goals and translate them into AI/ML and Generative AI use cases
    • Contribute to solution design, effort estimation, and delivery planning for AI initiatives
    • Communicate findings, trade-offs, and recommendations through clear documentation and presentations
    • Build Python-based prototypes and production-ready components for Generative AI workflows
    • Develop and refine prompts, templates, and guardrails to improve response quality, safety, and consistency
    • Implement evaluation approaches to measure output quality
    • Develop and maintain ML pipelines in Python
    • Perform model experimentation, feature engineering, and performance tuning aligned to business requirements
    • Collaborate with cross-functional teams to integrate AI services into applications and workflows

    Nice to have:

    • Experience delivering end-to-end AI/ML solutions in a client-facing or consulting setup
    • Exposure to LLM application patterns such as RAG, embeddings, vector search, and tool/function calling
    • Familiarity with MLOps practices
    • Experience with scalable data/ML platforms and workflows
    • Proven ability to balance rapid prototyping with production readiness

    Other:

    • Service Line: Data & Analytics Unit
    • Responsibilities: Solution Delivery & Consulting
    • Technology: AI/ML, Python, Gen AI, Databricks

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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