Sr. Lead Machine Learning Engineer

Discover Financial
San Francisco, Richmond, New York
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Problem-solving","Test automation","Responsible and explainable AI"]

Build and productionize machine learning applications and systems at scale on an Agile team. You will design and implement ML model and application code, make architecture decisions for infrastructure and training, and ensure high availability, performance, and secure governance. Work across Product and Data Science to develop optimized data pipelines, automate testing and deployment with CI/CD, and retrain, maintain, and monitor models in production while following Responsible and Explainable AI best practices.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Sr. Lead Machine Learning Engineer

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

Job Summary

Build and productionize machine learning applications and systems at scale on an Agile team. You will design and implement ML model and application code, make architecture decisions for infrastructure and training, and ensure high availability, performance, and secure governance. Work across Product and Data Science to develop optimized data pipelines, automate testing and deployment with CI/CD, and retrain, maintain, and monitor models in production while following Responsible and Explainable AI best practices.
Location: San Francisco, Richmond, 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 in collaboration with Product and Data Science.
  • •Make ML infrastructure and modeling decisions covering model selection, feature selection, training, hyperparameter tuning, validation, and bias/variance tradeoffs.
  • •Write, test, and deploy ML and application code, including automating tests and deployments using CI/CD best practices.
  • •Create and enhance software enabling big data and ML applications within a cross-functional Agile team.
  • •Retrain, maintain, and monitor models in production while ensuring performance, availability, and Responsible and Explainable AI governance.

Key Requirements

  • •Bachelor’s Degree
  • •8+ years designing and building data-intensive solutions using distributed computing
  • •4+ years programming with Python, Scala, or Java
  • •3+ years building, scaling, and optimizing ML systems
  • •2+ years leading teams developing ML solutions
Experience:8+ years
Education:Bachelor's in computer science, electrical engineering, mathematics, or a similar field
Skills:CommunicationCross-functional collaborationProblem-solvingTest automationResponsible and explainable AI
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowCI/CDData pipelines

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