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    Home/Jobs/Generative AI Engineer

    Generative AI Engineer

    GlobalLogic

    Gurugram
    6-8 years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    Gen AI
    LLM
    RAG
    Python
    Deep Learning
    Neural Networks
    NLP

    Description

    We are looking for a Generative AI Engineer with 6 to 8 years of experience to join our team in Gurgaon, India. The ideal candidate will have experience in building and deploying Gen AI and Deep Learning models.

    Company: GlobalLogic

    Role: Generative AI Engineer

    Location: India - Gurgaon, Hybrid (3 days from Office)

    Experience:

    • 5-10 years
    • 6+ years Total Exp
    • 4+ years Relevant Exp in GenAI

    Key Skills:

    • Agentic GenAI
    • Deep Learning
    • Generative AI
    • Generative AI - LLMs
    • Neural networks
    • NLP
    • Python
    • Retrieval-Augmented Generation (RAG)

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field

    Role Focus:

    • Design, develop, and implement advanced Generative AI solutions
    • Train, fine-tune, and evaluate Large Language Models (LLMs)
    • Develop and integrate Retrieval-Augmented Generation (RAG) systems
    • Apply expertise in Deep Learning and Neural Networks
    • Utilize Natural Language Processing (NLP) techniques
    • Manage the full lifecycle of AI models
    • Write clean, efficient, and well-documented code
    • Collaborate with cross-functional teams

    Nice to have:

    • Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)
    • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)
    • Contributions to open-source AI/ML projects
    • Published research in the field of AI, NLP, or Machine Learning

    Other:

    • Exciting Projects in industries like High-Tech, communication, media, healthcare, retail and telecom
    • Collaborative Environment with a diverse team
    • Work-Life Balance with flexible work schedules and paid time off
    • Professional Development opportunities
    • Excellent Benefits including competitive salaries, family medical insurance, and performance bonuses
    • Fun Perks like sports events, cultural activities, and corporate parties

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

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

    Python for Everybody Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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