Applied AI ML Associate Senior-Data Engineer
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 18–32 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 models and applications.
- Collaborate with AI engineers to productionise data flows and apply data access, privacy, and regulatory controls across borders.
Minimum Requirements
- 3+ years of applied experience with formal training or certification in software or data engineering concepts.
- Proficiency in Python and SQL with hands-on experience in data pipelines and ETL/ELT workflows.
- Experience with distributed data processing platforms such as Spark / Databricks and knowledge of cloud-native data services, containerisation, and CI/CD.
- BSc degree in Computer Science, Data Engineering, or a related quantitative field.
Ideal Candidate Profile
- Experienced in building data infrastructure tailored for ML and agentic AI workflows including feature stores and retrieval-augmented generation pipelines.
- Familiar with cross-border data governance, privacy standards, and financial services industry, preferably in wealth or private banking contexts.
- Able to engage in technical design discussions, code reviews, and progressively take on technical ownership within a senior associate engineering team.