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Applied AI ML Associate Senior

AT JPMorgan Chase
JPMorgan Chase

Applied AI ML Associate Senior

Bangalore, India

Join us for an exciting opportunity to advance your AI career with innovative solutions.

As a Senior Applied AI ML Associate within the AI Solutions Team, you will leverage generative AI solutions to solve real-world problems, develop scalable tools integrating Large Language Models, predictive models, and AI Agents with Controls and Oversight Products. You will optimize business decisions through data-promoten insights and actionable recommendations, build prototype solutions, and develop production-ready generative AI models. You will lead strategic execution within the department, coordinate resources for analytics-based decisions, execute commitments with urgency and personal accountability, engage clients with a strong understanding of their business needs, communicate persuasively, network effectively with colleagues, manage role-related risks, comply with regulatory requirements, and remediate issues by engaging resources to mitigate risk.

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Job Responsibilities:

  • Develop generative AI solutions integrated with Control and Oversight applications using Python.
  • Optimize business decisions through data-driven insights and actionable recommendations.
  • Build prototype solutions and develop production-ready generative AI models.
  • Lead strategic execution within the department, coordinating resources for analytics-based decisions.
  • Execute commitments with urgency and personal accountability.
  • Engage clients with a strong understanding of their business needs.
  • Communicate persuasively and network effectively with colleagues.
  • Manage role-related risks and comply with regulatory requirements.
  • Remediate issues by engaging resources to mitigate risk.

Required Qualifications, Capabilities, and Skills:

  • Degree in quantitative discipline from top-tier educational institutes.
  • 2+ years experience in implementing generative AI solutions using LLM prompts and RAG.
  • Strong proficiency in Python and extensive experience with LLM APIs and Python libraries.
  • Proficiency with data table operations (SQL) and knowledge of data architecture for AI solutions.
  • Ability to design or evaluate metrics aligned with business goals and communicate technical concepts effectively.


ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: JPMorgan-210638084
Employment Type: Full Time