Lead Machine Learning Engineer

Discover Financial
United States
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Problem-solving","Continuous learning","Code governance"]

Lead the engineering of production machine learning applications as part of an Agile team, spanning technical design, model and application code development, and deployment at scale. You’ll collaborate with Product and Data Science, make ML infrastructure decisions, and build reliable data pipelines. Ensure models are retrained, monitored, and governed with Responsible and Explainable AI practices while using CI/CD and automation to deliver high availability and performance.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Discover Financial
Discover Financial
1 month ago

Lead Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead the engineering of production machine learning applications as part of an Agile team, spanning technical design, model and application code development, and deployment at scale. You’ll collaborate with Product and Data Science, make ML infrastructure decisions, and build reliable data pipelines. Ensure models are retrained, monitored, and governed with Responsible and Explainable AI practices while using CI/CD and automation to deliver high availability and performance.
Location: United States
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 for real-world business problems in collaboration with Product and Data Science.
  • •Write, test, and automate application code and ML model development, including deployment support.
  • •Create and enhance software for state-of-the-art big data and ML applications as part of a cross-functional Agile team.
  • •Retrain, maintain, and monitor ML models in production to ensure performance and reliability.
  • •Leverage cloud architectures and build optimized data pipelines, using CI/CD best practices while ensuring Responsible and Explainable AI governance.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor’s degree.
  • •At least 6 years designing and building data-intensive solutions using distributed computing (internship experience does not apply).
  • •At least 4 years programming with Python, Scala, or Java.
  • •At least 2 years building, scaling, and optimizing ML systems.
  • •Demonstrated experience with people leadership and/or leading teams developing ML solutions using best practices and automation (as described).
Experience:Machine learningBig dataDistributed computingData-intensive solutionsPublic cloud
Education:Bachelor's
Skills:CollaborationProblem-solvingContinuous learningCode governance
Tech Stack:PythonScalaJavaScikit-learnPyTorchDaskSparkTensorFlowAWSAzureGoogle Cloud PlatformBig dataCI/CDTest automation

Eligibility

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