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    Home/Jobs/Python ML Engineer

    Python ML Engineer

    Infosys Limited

    Bengaluru
    2-5 years
    Today
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    RAG
    LangChain
    LlamaIndex
    OpenAI
    Azure OpenAI
    Hugging Face
    Embeddings
    Vector Database
    Transformers
    Prompt Engineering
    LangGraph
    Azure AI Search
    Pinecone

    Description

    Infosys Limited is seeking a Python ML Engineer with expertise in Generative AI and Azure Databricks to design and develop AI solutions.

    Company: Infosys Limited

    Role: Python ML Engineer

    Location: Bangalore

    Experience:

    • 2 - 5 Years

    Qualification:

    • Bachelor of Engineering
    • BTech
    • BCA
    • BSc
    • MCA
    • MSc
    • MTech

    Responsibilities:

    • Design and develop Generative AI solutions using LLMs
    • Build and optimize Retrieval-Augmented Generation pipelines
    • Implement frameworks like LangChain, LangGraph, or LlamaIndex
    • Develop and maintain ML models using Python ecosystem
    • Work extensively on Azure Databricks for data processing, model training, experimentation, deployment, and monitoring
    • Build scalable data pipelines on Databricks Lakehouse (Delta Lake)
    • Integrate vector databases and search systems
    • Deploy ML/GenAI solutions using MLOps best practices
    • Collaborate with cross-functional teams for production-grade AI solutions

    Additional responsibilities:

    • Experience with Databricks MosaicML and Vector Search
    • Knowledge of Docker and Kubernetes
    • Familiarity with CI/CD pipelines
    • Experience in building end-to-end AI applications

    More skills:

    Python, vector search, Azure Databricks, PySpark, Spark, Azure AI Studio, MLflow, MLOps, NLP, REST APIs, FastAPI, Flask

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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