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AI/ML Lead Data Engineer - Automation/Image Processing - JPMorganChase
Data Engineer
Lead Data Engineer driving AI/ML and image‑processing pipelines on AWS, building scalable, secure data architectures and automating analytics workflows for commercial banking.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines for image processing and AI/ML workloads using Python and Spark on AWS.
- Architect scalable, secure data storage solutions (S3, Redshift, DynamoDB) and implement data governance best practices.
- Collaborate with cross‑functional teams to translate business requirements into robust data models and automated analytics workflows.
- Lead performance tuning, monitoring, and troubleshooting of large‑scale data pipelines and ML inference services.
- Mentor junior engineers, promote coding standards, and drive continuous improvement of data engineering practices.
Requirements
- 5+ years of experience in data engineering with a focus on AI/ML and image processing.
- Proficiency in Python, Spark, and AWS services (S3, Glue, EMR, SageMaker).
- Strong knowledge of data modeling, ETL, and data lake architecture.
- Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes or ECS).
- Excellent problem‑solving skills and ability to work in an agile environment.
Skills
pythonmachine learningaws