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Lead Software Engineer - ML/Data Platform

JPM*** · Jersey City, NJ, United States
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Jersey City, NJ, United States152,000-215,000 USD/yearlyOnsite
Remuneration
152,000-215,000 USD/yearly
Location
Jersey City, NJ, United States
Visa sponsorship
Sponsors visa

Job summary

JOB DESCRIPTION Bring your Software Engineering experience to the next level and join The Machine Learning Center of Excellence (MLCOE) Team. Join JPM***'s MLCOE to turn cutting-edge AI into production at enterprise scale. The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems.

Benefits

And programs to meet employee needs, based on eligibility.Additional details about total compensation andWill be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bringWe are an equal opportunity employer and place a high value on diversity and incVisit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co.Is an Equal Opportunity Employer, including Disability/VeteransABOUT THE TEAMOur professionals in our Corporate Functions cover a diverse range of areas from

Qualifications

  • Bring your Software Engineering experience to the next level and join The Machine Learning Center of Excellence (MLCOE) Team.
  • capabilities, and

Responsibilities

  • In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning.
  • On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
  • You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
  • Designs, develops and maintains production grade software
  • Engineers data pipelines to ingest and transform large volumes of data.
  • Feeds processed data into machine learning model pipelines.
  • Stores resulting data in data warehouses and data lakes.
  • Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.
  • Deploys complete systems into production environments.
  • Resolves production issues within a 5-hour SLA.
  • Adds new features and maintains product code to ensure ongoing system performance and reliability.
  • Applies knowledge of

Skills

Leadership

Degrees

Associate

Industry

AutomotiveBankingHealthcareLogisticsPublic-sector

Company size

EnterpriseSmb

Contract length

00 years