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    Home/Jobs/MODULE LEAD - Gen AI

    MODULE LEAD - Gen AI

    Happiestmind

    Bengaluru
    5-8 years
    Today
    ₹25–44 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    Python
    Azure services
    NumPy
    Pandas
    Scikit-learn
    TensorFlow
    PyTorch
    Machine Learning
    NLP

    Description

    AI Engineer

    Company: Happiestmind

    Role: MODULE LEAD - Gen AI

    Experience:

    • Strong programming skills in Python and familiarity with common data science libraries (e.g., NumPy, Pandas, Scikit-learn)
    • In-depth knowledge of Azure services and cloud architecture

    Key Skills:

    • Python
    • Azure services
    • NumPy
    • Pandas
    • Scikit-learn
    • cloud architecture

    Role Focus:

    • Design and implement solutions using Python and Azure services to address various business problems
    • Conduct experiments and prototype new concepts to improve existing processes and to explore new capabilities
    • Maintain and optimize existing systems for performance and scalability
    • Document processes, systems, and protocols for internal and external stakeholders
    • Ensure compliance with data privacy and protection regulations

    Nice to have:

    • Proven experience as an AI Engineer or similar role
    • Experience with Bedrock AI platform for model management and deployment
    • Familiarity with Langchain for integrating language models
    • Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)
    • Experience with Natural Language Processing (NLP) and computer vision

    Other:

    • Reference Number: TPLPDS00-9-1

    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.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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