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","Problem-solving","Communication","Test automation","Governance"]

Build and productionize machine learning applications for Capital One’s credit decisioning systems at scale. You’ll design and deliver ML models and components, develop and validate model/application code, and automate testing and deployment while ensuring high availability and performance. Work on retraining, monitoring, and governed Responsible/Explainable AI, leveraging distributed computing and a Python- and Kubernetes-focused stack to create infrastructure and data pipelines that power real-time customer experiences.

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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 machine learning applications for Capital One’s credit decisioning systems at scale. You’ll design and deliver ML models and components, develop and validate model/application code, and automate testing and deployment while ensuring high availability and performance. Work on retraining, monitoring, and governed Responsible/Explainable AI, leveraging distributed computing and a Python- and Kubernetes-focused stack to create infrastructure and data pipelines that power real-time customer experiences.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Design, build, and/or deliver ML models and components to solve real-world business problems with Product and Data Science teams.
  • •Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • •Collaborate in a cross-functional Agile team to create and enhance software for big data and ML applications.
  • •Retrain, maintain, and monitor models in production with continuous integration and continuous deployment best practices.
  • •Ensure code quality and risk governance, including Responsible and Explainable AI, while leveraging cloud architectures to deliver optimized ML models at scale.

Pay and Benefits

Salary: USD 229,900 - 262,400 annually

Key Requirements

  • •At least 8 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 3 years of experience building, scaling, and optimizing ML systems.
  • •At least 2 years of experience leading teams developing ML solutions.
  • •A Bachelor’s Degree.
Experience:8+ yearsMachine learningData engineeringDistributed computing
Education:Bachelor's
Skills:CollaborationProblem-solvingCommunicationTest automationGovernance
Tech Stack:PythonKubernetesScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowContinuous integrationContinuous deploymentCloud-based architecturesData pipelinesHyperparameter tuningValidationDimensionality reduction

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