Lead Machine Learning Engineer

Discover Financial
Chicago
Workplace: OnsiteFull timeUSD 179,400 - 204,700 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Problem-solving","Continuous learning","Test automation","Risk governance"]

Build and productionize machine learning applications on an Agile team, owning technical design, development, and deployment at scale. Develop ML models and components to solve business problems, make infrastructure decisions around modeling, data, training, and validation, and ensure high availability and performance. Collaborate across product, data science, and engineering to automate testing, monitor and retrain models in production, and implement responsible, well-governed ML using Python/Scala/Java and cloud platforms.

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FursaFursa
Discover Financial
Discover Financial
2 days ago

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 on an Agile team, owning technical design, development, and deployment at scale. Develop ML models and components to solve business problems, make infrastructure decisions around modeling, data, training, and validation, and ensure high availability and performance. Collaborate across product, data science, and engineering to automate testing, monitor and retrain models in production, and implement responsible, well-governed ML using Python/Scala/Java and cloud platforms.
Location: Chicago
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Design, build, and deliver ML models and components with Product and Data Science teams.
  • •Develop and validate ML models, write and test application code, and automate tests and deployments.
  • •Collaborate with cross-functional Agile teams to create and enhance software for big data and ML applications.
  • •Retrain, maintain, and monitor models in production to ensure high availability and performance.
  • •Implement optimized data pipelines and cloud-based architectures to deliver ML models at scale, following responsible and explainable AI practices.

Pay and Benefits

Salary: USD 179,400 - 204,700 annually
Perks:Health Insurance

Key Requirements

  • •Bachelor’s Degree.
  • •At least 6 years of experience designing and building data-intensive solutions using distributed computing.
  • •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 developing performant, resilient, and maintainable code.
Experience:6+ yearsBig dataMachine learningDistributed computingData pipelinesPublic cloud
Education:Bachelor's
Skills:Cross-functional collaborationProblem-solvingContinuous learningTest automationRisk governance
Tech Stack:PythonScalaJavaDistributed computingScikit-learnPyTorchDaskSparkTensorFlowAWSAzureGoogle Cloud PlatformCI/CDContinuous integrationContinuous deploymentCloud-based architecturesData pipelinesModel trainingHyperparameter tuningValidation

Eligibility

Visa:H1BF-1 OPTF-1 STEM OPTF-1 CPTJ-1TNE-3O-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