Machine Learning Engineer

JPMorgan Chase
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Job Description

As part of Asset Management (AM) Research Technology, you will partner with our Global Data Science teams to design, develop, deploy and operate innovative data pipelines and machine learning driven applications.

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:

  • 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
  • (preferred) Experience working with ElasticSearch

Company Info.

JPMorgan Chase

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase

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