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    Home/Jobs/Data Science-Gen AI Engineer

    Data Science-Gen AI Engineer

    EXL

    Noida
    9-12 years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Cloud Storage
    LangChain
    Python
    FastAPI
    GCP
    Vertex AI
    Cloud Run
    Cloud Functions
    BigQuery
    LangGraph
    CrewAI
    MLOps
    Git
    CI/CD

    Description

    We are looking for a Data Science-Gen AI Engineer with 9-12 years of experience to build production-ready AI applications and design LLM pipelines.

    Role: Data Science-Gen AI Engineer

    Experience:

    • 9-12 years of experience
    • 2+ years of experience developing AI solutions, especially with LLMs

    Key Skills:

    • Python
    • FastAPI
    • GCP
    • Vertex AI
    • Cloud Run/Functions
    • BigQuery
    • Cloud Storage
    • LangChain
    • LangGraph
    • CrewAI
    • LLM
    • Prompt engineering
    • Vector stores
    • Embeddings
    • Semantic search
    • RAG
    • Git
    • CI/CD

    Qualification:

    • Bachelors or Masters in Computer Science
    • Experience with MLOps for model deployment and monitoring
    • Knowledge of distributed systems and data processing

    Role Focus:

    • Build production-ready AI applications
    • Design LLM pipelines
    • Integrate AI systems with enterprise platforms
    • Follow best practices in coding, testing, and deployment within CI/CD pipelines

    Additional responsibilities:

    • Continuously explore and recommend emerging tools and AI technologies

    Nice to have:

    • Contributions to open-source projects or strong AI project portfolio
    • Strong communication skills and ability to explain technical concepts clearly

    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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