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    Home/Jobs/Applied AI/ML Lead

    Applied AI/ML Lead

    JPMorgan Chase

    Bengaluru / Mumbai
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Agentic AI
    Prompt Engineering
    Fine-tuning
    DPO
    RLHF
    Python
    PyTorch
    TensorFlow
    NLP
    AWS
    Azure
    data pipelines
    API development
    MLOps

    Description

    Lead data scientist role focused on designing and deploying prompt-based models on large language models (LLMs) for financial services within JPMorgan Chase's Asset and Wealth Management division.

    Company: JPMorgan Chase

    Role: Applied AI/ML Lead

    Location: Bengaluru, Karnataka, India and Mumbai, Maharashtra, India

    Experience:

    • 5+ years applied experience
    • Formal training or certification on software engineering concepts

    Key Skills:

    • prompt design and implementation
    • chatbot application
    • Python
    • PyTorch
    • TensorFlow
    • data pipelines for structured and unstructured data
    • API development
    • NLP
    • LLM models
    • cloud platforms (AWS or Azure)
    • GIT
    • version control systems
    • LLM orchestration
    • agentic AI libraries
    • MLOps tools and practices

    Qualification:

    • Formal training or certification on software engineering concepts

    Role Focus:

    • Design, deploy and manage prompt-based models on LLMs for NLP tasks in financial services
    • Conduct research on prompt engineering techniques to improve model performance
    • Collaborate with cross-functional teams to identify requirements and develop solutions
    • Communicate effectively with technical and non-technical stakeholders
    • Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs
    • Develop and maintain tools and frameworks for prompt-based model training, evaluation and optimization
    • Analyze and interpret data to evaluate model performance and identify improvements

    Additional responsibilities:

    • Support firm’s business objectives through critical technology solutions across multiple technical areas
    • Ensure secure, stable, and scalable delivery of technology products
    • Work within an agile team environment
    • Integrate machine learning models into production environments

    Nice to have:

    • Familiarity with model fine-tuning techniques such as DPO and RLHF
    • Knowledge of Java
    • Knowledge of Spark
    • Knowledge of financial products and services including trading, investment and risk management

    Other:

    • Full-time job schedule
    • Equal opportunity employer valuing diversity and inclusion
    • Reasonable accommodations for religious practices and disabilities
    • Part of J.P. Morgan Asset & Wealth Management division
    • Team works in a cloud-native environment with a data-centric approach
    • Focus on continuous learning and innovative technology solutions

    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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