Applied AI ML Associate at JPMC Candidate Experience page

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

01 Jul, 26

Salary

0.0

Posted On

02 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, Spark SQL, GenAI, LLM Orchestration, Agentic AI, Databricks, AWS, Data Lakes, Data Processing, Machine Learning, Prompt Engineering, Context Engineering, Software Engineering, Agile, Data Analysis

Industry

Financial Services

Description

Job Overview We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer II at JPMorgan Chase within Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities * Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using Agentic/GenAI frameworks in a fast-paced environment. * Design and implement prompt and context engineering techniques to enhance the performance of LLM-based solutions. * Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes. * Build and maintain Data Lakes and data processing workflows using Databricks to support machine learning operations. * Communicate technical concepts and results effectively to both technical and non-technical stakeholders. * Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures. * Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions. * Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without the need for escalation. Required Qualifications * Advanced degree in Computer Science, Data Science, Mathematics, or a closely related field * 3+ years of applied experience in data science, machine learning, or adjacent disciplines * Strong Python skills, including PySpark, Spark SQL, and DataFrames-based development * Hands-on experience with LLM orchestration and agentic AI libraries; proven use of GenAI models (OpenAI or similar) to solve business problems * Experience building AI agents, agentic frameworks, and MCP servers * Experience designing/operating data lakes and data processing workflows on Databricks, taking solutions from POC to production quickly * Strong problem-solving/troubleshooting and stakeholder communication skills; able to mentor teammates and leverage tools like Copilot to improve productivity and code quality Preferred Qualifications * Proficiency in all other AWS components—preferably AWS certified. * Experience integrating AI/ML models into data pipelines is a plus. * Experience in full stack development including Java/J2EE based microservices, React UI 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. 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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Responsibilities

Collaborate with cross-functional teams to design and deliver data-driven solutions using Agentic and GenAI frameworks. Build and maintain scalable data processing pipelines and Data Lakes on Databricks to support machine learning operations.