Sr. Lead Machine Learning Engineer

Discover Financial
United States
Workplace: OnsiteFull timeUSD 229,900 - 262,400 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Communicating technical concepts","Cross-functional teamwork","Test automation","Model monitoring"]

Build and productionize large-scale machine learning applications as part of an Agile team, covering technical design, model/component development, and implementation. Work across Ops, Modeling, and Data Engineering to create high-availability ML systems, develop optimized data pipelines, automate testing and deployment, and continuously retrain and monitor models in production. Use Python/Scala/Java and cloud platforms to deliver resilient, well-governed ML solutions aligned with Responsible and Explainable AI.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Sr. Lead Machine Learning Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and productionize large-scale machine learning applications as part of an Agile team, covering technical design, model/component development, and implementation. Work across Ops, Modeling, and Data Engineering to create high-availability ML systems, develop optimized data pipelines, automate testing and deployment, and continuously retrain and monitor models in production. Use Python/Scala/Java and cloud platforms to deliver resilient, well-governed ML solutions aligned with Responsible and Explainable AI.
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 to solve real-world business problems in collaboration with product and data science teams.
  • •Write, test, and deploy application code and ML models, including automated testing and CI/CD practices.
  • •Collaborate on cross-functional Agile teams to create and enhance big data and ML software.
  • •Retrain, maintain, and monitor models in production to ensure performance and availability.
  • •Design ML infrastructure and optimized data pipelines, and ensure Responsible and Explainable AI and model governance from a risk perspective.

Pay and Benefits

Salary: USD 229,900 - 262,400 annually

Key Requirements

  • •Design and build data-intensive solutions using distributed computing (8+ years).
  • •Program with Python, Scala, or Java (4+ years).
  • •Build, scale, and optimize ML systems (3+ years).
  • •Develop ML solutions using public cloud platforms such as AWS, Azure, or Google Cloud Platform (preferred).
  • •Lead teams developing ML solutions and develop production-ready data pipelines feeding ML models (preferred).
Experience:8+ yearsMachine learningBig dataPublic cloudDistributed computing
Education:Bachelor's
Skills:CollaborationCommunicating technical conceptsCross-functional teamworkTest automationModel monitoring
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowCI/CD

Eligibility

Work Authorization:Sponsorship available.

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