Lead Machine Learning Engineer

Discover Financial
New York
Workplace: OnsiteFull timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Continuous learning","Responsibility","Leadership"]

Lead productionization of machine learning applications on an Agile team, owning the design, development, and implementation of ML models and components. Collaborate with Product and Data Science to solve real business problems, build optimized data pipelines, and ensure models are retrained, monitored, and governed in production. Use cloud architectures and CI/CD best practices to deliver scalable, high-availability ML systems with strong performance and risk-aligned Responsible and Explainable AI.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead productionization of machine learning applications on an Agile team, owning the design, development, and implementation of ML models and components. Collaborate with Product and Data Science to solve real business problems, build optimized data pipelines, and ensure models are retrained, monitored, and governed in production. Use cloud architectures and CI/CD best practices to deliver scalable, high-availability ML systems with strong performance and risk-aligned Responsible and Explainable AI.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, build, and deliver ML models and components to solve real-world business problems with Product and Data Science teams.
  • •Develop and validate ML models, inform ML infrastructure decisions, and optimize model training and validation.
  • •Write and test application code, automate tests and deployment, and ensure high availability and performance of ML applications.
  • •Construct and optimize data pipelines that feed ML models, and build cloud-based architectures to deliver ML at scale.
  • •Retrain, maintain, and monitor models in production while following Responsible and Explainable AI and risk governance best practices.

Pay and Benefits

Salary: USD 215,200 - 245,600 annually

Key Requirements

  • •Bachelor’s degree.
  • •At least 6 years of experience designing and building data-intensive solutions using distributed computing (internship experience does not apply).
  • •At least 4 years of experience programming with Python, Scala, or Java.
  • •At least 2 years of experience building, scaling, and optimizing ML systems.
  • •At least 2 years of experience building production-ready data pipelines that feed ML models.
Experience:6+ yearsDistributed computingMachine learningData pipelinesBig data
Education:Bachelor's
Skills:CollaborationProblem-solvingContinuous learningResponsibilityLeadership
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowCI/CD

Eligibility

Visa:H1BF-1 OPTF-1 STEM OPTF-1 CPTJ-1TNE-2E-3L-1O-1
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn