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Data & AI Engineer - Vice President - Accelerator Business - JPMorganChase
AI Engineer
Senior Data & AI Engineer leading end‑to‑end AI product development in a fast‑moving accelerator team, building scalable data pipelines, ML models, and cloud‑native solutions on AWS.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade data pipelines and ML models using Python, SQL, and Apache Spark.
- Collaborate with cross‑functional squads to translate business requirements into scalable data solutions on AWS.
- Implement data lake architecture, ensuring data quality, governance, and security across the organization.
- Lead experimentation, model validation, and performance monitoring for AI products.
- Mentor junior engineers and champion best practices in data engineering and ML engineering.
Requirements
- 5+ years of experience in data engineering and AI/ML development.
- Proficiency in Python, SQL, and Spark for large‑scale data processing.
- Hands‑on experience with AWS services (S3, Redshift, SageMaker, Glue).
- Strong understanding of data lake concepts, data governance, and security.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningawssqlapache spark