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Applied AI ML Lead

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Applied AI ML Lead

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Senior technical lead role at JPMorgan Chase responsible for architecting, building, and delivering secure, scalable machine learning solutions that drive business impact. You will provide technical direction to engineering teams, advise executive leadership, and promote best practices across software and model development. The role focuses on advanced ML topics including LLMs, RAG, NLU/NLP, MLOps, and cloud-based deployments (AWS). Based in Hyderabad, India, the position emphasizes production-grade code quality, scalability, and innovation in AI for banking.

Location: Hyderabad, Telangana, India

Join a world-class team at JPMorgan Chase and drive the next wave of AI innovation. As a Senior Lead Applied AI Engineer, you’ll influence technology strategy, deliver impactful solutions, and help redefine the banking experience for millions.
 
As an Applied AI ML Lead at JPMorgan Chase, you will play a pivotal role in shaping the future of banking by leading innovation in AI and machine learning. You will be responsible for architecting, building, and delivering secure, scalable, and high-quality machine learning solutions that drive significant business impact. As a technical leader, you will provide strategic direction, technical guidance, and thought leadership across the organization, ensuring the adoption of best practices and cutting-edge technologies.
 

Job Responsibilities

  • Provide ongoing technical guidance and direction to business units, engineering teams, contractors, and vendors.
  • Serve as a subject matter expert in one or more specialized areas of AI and machine learning.
  • Advise executive leadership as a trusted thought leader, offering strategic recommendations on machine learning initiatives.
  • Architect, develop, and oversee the implementation of next-generation machine learning models and systems.
  • Ensure solutions support complex use cases, including real-time predictions, big data processing, and advanced analytics.
  • Develop, review, and debug secure, high-quality production code, ensuring adherence to best practices.
  • Promote software and model quality, integrity, and security across the organization.
  • Drive decisions that influence product design, application functionality, and technical operations.
  • Foster innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture.
  • Advocate for and contribute to firmwide frameworks, tools, and Software Development Life Cycle (SDLC) practices.
  • Actively engage with the engineering community to promote best practices and continuous improvement.

     

  • Required Qualifications, Capabilities, and Skills

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • Proven experience in technical leadership and providing guidance to engineering teams.
  • Strong expertise in developing, reviewing, and debugging secure, high-quality production code.
  • Deep knowledge of machine learning, big data processing, and advanced analytics.
  • Experience architecting scalable and flexible machine learning platforms.
  • Demonstrated ability to drive innovation and influence technology adoption.
  • Excellent communication skills, with the ability to advise executive leadership.
  • Technical Skills Python, AWS Cloud (Lambda, ECS, Glue, SQS, etc.), Retrieval-Augmented Generation (RAG), AI/Agents, NLU/NLP, Large Language Models (LLM), MLOps, CI/CD, SDLC.
  •  

    Preferred Qualifications, Capabilities, and Skills

  • Experience in the financial services industry, particularly in consumer and community banking.
  • Familiarity with firmwide frameworks, tools, and SDLC best practices.
  • Track record of contributing to the engineering community and promoting best practices.
  • Preferred/Additional Skills Google ADK, LangGraph, Snowflake.
  • Promote AI and machine learning innovation, crafting scalable solutions to transform the future of banking at JPMorgan Chase.

    Applied AI ML Lead

    at J.P. Morgan

    Back to all Data Science / AI / ML jobs
    J.P. Morgan logo
    Bulge Bracket Investment Banks

    Applied AI ML Lead

    at J.P. Morgan

    Mid LevelNo visa sponsorshipData Science/AI/ML

    Posted a month ago

    No clicks

    Compensation
    Not specified

    Currency: Not specified

    City
    Not specified
    Country
    India

    Senior technical lead role at JPMorgan Chase responsible for architecting, building, and delivering secure, scalable machine learning solutions that drive business impact. You will provide technical direction to engineering teams, advise executive leadership, and promote best practices across software and model development. The role focuses on advanced ML topics including LLMs, RAG, NLU/NLP, MLOps, and cloud-based deployments (AWS). Based in Hyderabad, India, the position emphasizes production-grade code quality, scalability, and innovation in AI for banking.

    Location: Hyderabad, Telangana, India

    Join a world-class team at JPMorgan Chase and drive the next wave of AI innovation. As a Senior Lead Applied AI Engineer, you’ll influence technology strategy, deliver impactful solutions, and help redefine the banking experience for millions.
     
    As an Applied AI ML Lead at JPMorgan Chase, you will play a pivotal role in shaping the future of banking by leading innovation in AI and machine learning. You will be responsible for architecting, building, and delivering secure, scalable, and high-quality machine learning solutions that drive significant business impact. As a technical leader, you will provide strategic direction, technical guidance, and thought leadership across the organization, ensuring the adoption of best practices and cutting-edge technologies.
     

    Job Responsibilities

  • Provide ongoing technical guidance and direction to business units, engineering teams, contractors, and vendors.
  • Serve as a subject matter expert in one or more specialized areas of AI and machine learning.
  • Advise executive leadership as a trusted thought leader, offering strategic recommendations on machine learning initiatives.
  • Architect, develop, and oversee the implementation of next-generation machine learning models and systems.
  • Ensure solutions support complex use cases, including real-time predictions, big data processing, and advanced analytics.
  • Develop, review, and debug secure, high-quality production code, ensuring adherence to best practices.
  • Promote software and model quality, integrity, and security across the organization.
  • Drive decisions that influence product design, application functionality, and technical operations.
  • Foster innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture.
  • Advocate for and contribute to firmwide frameworks, tools, and Software Development Life Cycle (SDLC) practices.
  • Actively engage with the engineering community to promote best practices and continuous improvement.

     

  • Required Qualifications, Capabilities, and Skills

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • Proven experience in technical leadership and providing guidance to engineering teams.
  • Strong expertise in developing, reviewing, and debugging secure, high-quality production code.
  • Deep knowledge of machine learning, big data processing, and advanced analytics.
  • Experience architecting scalable and flexible machine learning platforms.
  • Demonstrated ability to drive innovation and influence technology adoption.
  • Excellent communication skills, with the ability to advise executive leadership.
  • Technical Skills Python, AWS Cloud (Lambda, ECS, Glue, SQS, etc.), Retrieval-Augmented Generation (RAG), AI/Agents, NLU/NLP, Large Language Models (LLM), MLOps, CI/CD, SDLC.
  •  

    Preferred Qualifications, Capabilities, and Skills

  • Experience in the financial services industry, particularly in consumer and community banking.
  • Familiarity with firmwide frameworks, tools, and SDLC best practices.
  • Track record of contributing to the engineering community and promoting best practices.
  • Preferred/Additional Skills Google ADK, LangGraph, Snowflake.
  • Promote AI and machine learning innovation, crafting scalable solutions to transform the future of banking at JPMorgan Chase.