Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Discover Financial
New York
Full timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Code quality","Continuous learning"]

Develop and productionize scalable machine learning applications within an Agile team, covering technical design, model/application code development, and performance and availability. Partner with Product and Data Science to build ML models and components, make infrastructure decisions, construct data pipelines, and automate testing and CI/CD for reliable deployments. Retrain, monitor, and govern models using Responsible and Explainable AI best practices.

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FursaFursa
Discover Financial
Discover Financial
1 week ago

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Develop and productionize scalable machine learning applications within an Agile team, covering technical design, model/application code development, and performance and availability. Partner with Product and Data Science to build ML models and components, make infrastructure decisions, construct data pipelines, and automate testing and CI/CD for reliable deployments. Retrain, monitor, and govern models using Responsible and Explainable AI best practices.
Location: New York
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deliver ML models and components that solve business problems with Product and Data Science teams.
  • •Implement application code, develop and validate ML models, and automate tests and deployment.
  • •Collaborate in cross-functional Agile teams to create and enhance big data and ML applications.
  • •Retrain, maintain, and monitor models in production and ensure high availability and performance.
  • •Use cloud-based architectures and data pipelines to deliver optimized ML models at scale while applying Responsible and Explainable AI practices.

Pay and Benefits

Salary: USD 215,200 - 245,600 annually

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
  • •Ability to build performant, resilient, maintainable code and support data gathering/preparation for ML models
Experience:6+ yearsDistributed computingMachine learningBig dataData pipelinesCloud
Education:Bachelor's
Skills:CollaborationProblem-solvingCode qualityContinuous learning
Tech Stack:PythonScalaJavaAWSSQLGenAIScikit-learnPyTorchDaskSparkTensorFlowAzureGoogle Cloud PlatformCI/CDContinuous integrationContinuous deploymentResponsible AIExplainable AI

Eligibility

Visa:H1BF-1 OPTF-1 STEM OPTF-1 CPTJ-1TNE-2E-3L-1O-1EAD
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