Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Discover Financial
New York
Workplace: OnsiteFull timeUSD 229,900 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Communication","Technical design","Code quality"]

Build and productionize machine learning applications for Capital One’s Enterprise Platforms Technology team. You’ll design and implement ML models and components in collaboration with Product and Data Science, focusing on scalable infrastructure, data pipelines, and model monitoring. Apply ML engineering best practices (CI/CD, validation, automation, and security) while ensuring high availability, performance, and Responsible & Explainable AI across production systems.

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Discover Financial
Discover Financial
1 month ago

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build and productionize machine learning applications for Capital One’s Enterprise Platforms Technology team. You’ll design and implement ML models and components in collaboration with Product and Data Science, focusing on scalable infrastructure, data pipelines, and model monitoring. Apply ML engineering best practices (CI/CD, validation, automation, and security) while ensuring high availability, performance, and Responsible & Explainable AI across production systems.
Location: New York
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 for real-world business problems in collaboration with Product and Data Science.
  • •Inform ML infrastructure and engineering decisions using model selection, data/feature selection, training, tuning, validation, and bias/variance considerations.
  • •Develop, test, and automate production ML model and application code, including deployment workflows and monitoring.
  • •Retrain, maintain, and monitor models in production to ensure high availability and performance.
  • •Construct and optimize data pipelines feeding ML models, applying Responsible and Explainable AI and strong code governance to reduce vulnerabilities.

Pay and Benefits

Salary: USD 229,900 - 286,200 annually
Perks:Health Insurance

Key Requirements

  • •Bachelor’s degree.
  • •At least 8 years designing and building data-intensive solutions using distributed computing (internship experience does not apply).
  • •At least 4 years programming with Python, Scala, or Java.
  • •At least 3 years building, scaling, and optimizing ML systems.
  • •Ensure ML models and systems are production-ready, including deployment, monitoring, and automation (per role expectations).
Experience:8+ yearsMachine learningBig dataDistributed computingCloud
Education:Bachelor's
Skills:CollaborationProblem-solvingCommunicationTechnical designCode quality
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowCI/CDTest automationData pipelinesDistributed computingBig dataResponsible and Explainable AI

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