Applied AI ML Associate Senior-Data Engineer
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 14–30 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data pipelines and feature stores for AI/ML products supporting international markets.
- Implement data quality, validation, and monitoring to ensure reliable inputs for AI models and applications.
- Collaborate with AI engineers to productionise data flows applying data access, privacy, and regulatory controls across borders.
Minimum Requirements
- 3+ years applied experience with formal training or certification in software or data engineering concepts.
- Proficiency in Python and SQL, with hands-on experience building and maintaining ETL/ELT data pipelines.
- Familiarity with distributed data processing platforms such as Spark/Databricks and cloud-native data services.
- Bachelor's degree in Computer Science, Data Engineering, or a related quantitative field.
Ideal Candidate Profile
- Experienced data engineer at Senior Associate level comfortable in regulated financial services environments (wealth, private banking, asset management).
- Technical expertise in modern software engineering practices, data modelling, governance, and compliance for cross-border AI/ML data platforms.
- Collaborative operator who participates in design and code reviews and works closely with AI engineers and stakeholders.