Lead Machine Learning Engineer

Discover Financial
United States
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Continuous learning","Cross-functional teamwork","Attention to performance"]

Lead the engineering of production machine learning applications at scale as part of an Agile team. Design and deliver ML models and components, write and test model/application code, and automate testing and deployment. Make ML infrastructure decisions using model training, tuning, validation, and feature selection concepts, and build optimized data pipelines feeding models. Retrain, maintain, and monitor models in production while following Responsible and Explainable AI best practices.

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FursaFursa
Discover Financial
Discover Financial
3 weeks 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: 3 hours agoStatus: Live

Job Summary

Lead the engineering of production machine learning applications at scale as part of an Agile team. Design and deliver ML models and components, write and test model/application code, and automate testing and deployment. Make ML infrastructure decisions using model training, tuning, validation, and feature selection concepts, and build optimized data pipelines feeding models. Retrain, maintain, and monitor models in production while following Responsible and Explainable AI best practices.
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.
  • •Develop and validate ML models and application code, including automating tests and deployment.
  • •Make ML infrastructure decisions using modeling techniques such as training, hyperparameter tuning, validation, and bias/variance considerations.
  • •Build and optimize data pipelines feeding ML models and enable state-of-the-art big data and ML applications.
  • •Retrain, maintain, and monitor models in production while applying Responsible and Explainable AI and ensuring high availability and performance.

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.
  • •At least 4 years programming with Python, Scala, or Java.
  • •At least 2 years building, scaling, and optimizing ML systems.
  • •Experience programming with Python, Scala, or Java and building ML solutions with model design and production engineering activities.
Experience:6+ yearsMachine learningBig dataDistributed computingData-intensive solutions
Education:Bachelor's
Skills:CollaborationProblem-solvingContinuous learningCross-functional teamworkAttention to performance
Tech Stack:PythonScalaJavaScikit-learnPyTorchDaskSparkTensorFlowAWSAzureGoogle Cloud PlatformContinuous integrationContinuous deployment

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