As a Machine Learning Engineer in JP Morgan Asset Management ML Engineering, you will partner with our Global Data Science teams to design, develop, deploy and operate innovative data pipelines and machine learning driven applications. ML Engineering team is located within AM Research Technology – where data scientists and ML engineers collaborate to develop advanced algorithms and applications to improve investment decision making.
Key responsibilities include:
- building and operating highly sophisticated end-to-end data and Machine Learning pipelines
- designing production APIs, data delivery processes
- integrating unstructured and timeseries data into production pipelines
- collaborating with DevOps engineers to plan and deploy data storage and processing systems, especially for text, timeseries or financial data
Requirements:
- Strong software Engineering experience
- Experience building and operating pipelines for processing and ML inference for text, timeseries or financial data
- Experience architecting, developing, and operating within AWS
- Proficiency in Python programming
- History of successfully collaborating with internal stakeholders and clarifying requirements
- Proven ability to iterate quickly
- (preferred) Experience working with Kubernetes, Airflow (or similar schedulers) and Machine Learning frameworks
- (preferred) Knowledge of Machine Learning algorithms such as common Deep Learning based Natural Language Processing (NLP) and Unsupervised Clustering
You’ve got this!