JPMorgan Machine Learning Engineer Vice President 

United States, New York, New York 

575711814

As a Data Science Engineer in the Applied Data Science investment team within J.P. Morgan Asset Management, you will collaborate closely with portfolio managers and data scientists on a proprietary data science investment process. You will partner with team members across the full lifecycle of the team’s AI/ML projects, helping to solve complex engineering problems from the research stage through to production implementation.

Job Responsibilities:

• Design highly scalable pipelines for data ingestion and data processing
• Deploy efficient inference workflows for large-scale AI models
• Ensure pipeline robustness by constructing effective monitoring workflows
• Integrate datasets across a wide variety of formats
• Remain up to date with the latest developments in AI through research and experimentation
• Partner directly with the team’s data scientists to facilitate research projects and production implementation

Required Qualifications, Capabilities, and Skills:

• 3+ years of relevant experience working with large-scale datasets
• Proficiency in programming languages such as Python
• Strong understanding of data science pipelines and relevant technologies
• Hands-on experience with public cloud services
• Intellectual curiosity and passion for problem solving

Preferred Qualifications, Capabilities, and Skills:

• Demonstrated success bringing large-scale pipelines from research to production
• Experience working with AWS services
• Solid understanding of AI/ML models, including previous experience with deep learning frameworks
• Experience working with a variety of data formats, including natural language, image, and time series data