AI ML Software Engineer III - Chief Data & Analytics Office
AI ML Software Engineer III - Chief Data & Analytics Office
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Join JPMorgan Chases Chief Data & Analytics Office (CDAO) and be part of a mission to modernize compliance through scalable and explainable AI. As a Machine Learning Engineer youll design and build systems that answer critical data usage questions with prediction logic proof and intelligent automation. Work at the intersection of applied machine learning AI reasoning systems and data governance to tackle complex problems and build ML solutions that make decisions.
As a Machine Learning Engineer within JPMorgan Chases Chief Data & Analytics Office (CDAO) you will design and build systems that answer critical data usage questions with prediction logic proof and intelligent automation. You will work at the intersection of applied machine learning AI reasoning systems and data governance to tackle complex problems and build ML solutions that make decisions. You will build and integrate ML models into structured backend services write production-ready Python code and assist in building automated workflows. You will collaborate with VP engineers and cross-functional partners to understand requirements and execute implementation. Your role involves participating in code reviews quality assurance and ongoing system improvement.
Job Responsibilities:
- Build and integrate ML models into structured backend services (APIs pipelines batch processors).
- Write production-ready Python code to support model inference validation and logging.
- Assist in building automated workflows for data ingestion model deployment and metadata tagging.
- Build dashboards logs or simple UI tools to visualize and debug decision outcomes.
- Collaborate with VP engineers and cross-functional partners to understand requirements and execute implementation.
- Participate in code reviews quality assurance and ongoing system improvement.
Required Qualifications Capabilities and Skills:
- Bachelors degree in Computer Science Software Engineering or related field.
- Commercial software development experience ideally with exposure to ML/AI systems.
- Strong programming skills in Python; familiarity with web frameworks (Flask FastAPI).
- Understanding of model inference lifecycles APIs and data validation.
- Familiarity with Git CI/CD pipelines testing and performance profiling.
- Ability to work independently and deliver clean maintainable production-quality code.
Preferred Qualifications Capabilities and Skills:
- Masters degree or certifications in ML engineering MLOps or cloud infrastructure.
- Familiarity with data cataloging tagging or schema inference workflows.
- Exposure to enterprise governance compliance or secure access systems.
- Interest in explainable AI decision support tooling and intelligent policy engines.
Required Experience:
Chief
Employment Type
Full-Time
