Applied AI ML Associate Senior-Data Engineer

JPMorgan Chase & Co.; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a hands-on Applied AI ML Associate Senior - Data Engineer to build and maintain data pipelines and platforms that fuel agentic AI across international markets.

You will work with senior engineers to ingest, transform, and quality-check data, ensuring model-ready data is timely and governance-compliant across IPB markets. This Senior Associate role reports to the AIML Team Lead.

Qualifications

• Formal training or certification on software or data engineering concepts and 3+ years applied experience.
• Proficiency in Python and SQL, and familiarity with modern software engineering practices (testing, code review, version control)
• Hands-on experience building and maintaining data pipelines and ETL/ELT workflows.
• Exposure to distributed data processing and platforms such as Spark / Databricks
• Working knowledge of cloud-native data services, containerisation, and CI/CD
• Understanding of data modelling and warehousing concepts
• Ability to communicate clearly with engineers, data scientists, and stakeholders

Responsibilities

• Builds and maintains scalable data pipelines and feature stores supporting the team's AI/ML products, from source systems through to production
• Implements data quality, validation, and monitoring so downstream models and applications can trust their inputs
• Structures and models data for retrieval-augmented generation, feature engineering, and analytics workloads
• Partners with AI engineers to productionise data flows for agentic AI and ML use cases
• Applies data access, privacy, and residency controls to firm-wide and cross-border regulatory standards
• Contributes to design discussions and code reviews, growing towards greater technical ownership
• Uses AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development

Skills

Python

SQL

Data pipelines

ETL/ELT

Data modeling

Cloud

Communication

Education

BSc in Computer Science or related

Tools

Spark

Databricks

Docker

CI/CD

Job description

Job Information

• Job Identification 210774209
• Job Category Predictive Science
• Business Unit Asset & Wealth Management
• Posting Date 09/16/2026, 08:00 AM
• Locations Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, IN
• Job Schedule Full time
• Job Shift Day

Job Description

We're looking for a hands-on data engineer ready to grow their career. Join the ranks of top talent at one of the world's most influential companies.

As a Applied AI ML Associate Senior -Data Engineer at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will build and maintain the data pipelines and platforms that our agentic AI and machine learning products run on. Working alongside senior engineers, you will develop data ingestion, transformation, and quality checks so the team's models and applications are fed timely, well-governed, model-ready data across international markets.

This is a Senior Associate-level role and an integral part of the IPB Tech AIML team, reporting to the AIML Team Lead.

Job Responsibilities

• Builds and maintains scalable data pipelines and feature stores supporting the team's AI/ML products, from source systems through to production
• Implements data quality, validation, and monitoring so downstream models and applications can trust their inputs
• Structures and models data for retrieval-augmented generation, feature engineering, and analytics workloads
• Partners with AI engineers to productionise data flows for agentic AI and ML use cases
• Applies data access, privacy, and residency controls to firm-wide and cross-border regulatory standards
• Contributes to design discussions and code reviews, growing towards greater technical ownership

Uses AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development

Required qualifications, capabilities, and skills

• Formal training or certification on software or data engineering concepts and 3+ years applied experience
• Proficiency in Python and SQL, and familiarity with modern software engineering practices (testing, code review, version control)
• Hands-on experience building and maintaining data pipelines and ETL/ELT workflows
• Exposure to distributed data processing and platforms such as Spark / Databricks
• Working knowledge of cloud-native data services, containerisation, and CI/CD
• Understanding of data modelling and warehousing concepts
• Ability to communicate clearly with engineers, data scientists, and stakeholders
• BSc in Computer Science, Data Engineering, or a related quantitative field

Preferred qualifications, capabilities, and skills

• Exposure to data foundations for ML / LLM workloads (feature stores, vector stores, RAG pipelines)
• Exposure to financial services, particularly wealth, private banking, or asset management
• Familiarity with data governance, lineage, and privacy tooling
• Familiarity with JPM-internal data and AI/ML infrastructure for internal candidates

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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.