DescriptionBring your passion for solving complex AI/ML engineering problems to a high impact role on our investment team. Through a close partnership with a team of portfolio managers and data scientists, your engineering expertise will contribute directly to the future growth and innovation of our products.
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