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

Discover Financial
New York
Workplace: OnsiteFull timeUSD 250,800 - 286,200 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Team leadership","Problem-solving","Clear communication"]

Build and productionize machine learning applications for large-scale enterprise platforms, partnering with Product and Data Science on end-to-end ML development. Design and implement ML architectures, models, and data pipelines, and ensure high availability and performance through testing, CI/CD, monitoring, and automated deployments. Maintain, retrain, and govern models with Responsible and Explainable AI practices while collaborating on an Agile team delivering big data and ML capabilities.

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FursaFursa
Discover Financial
Discover Financial
3 days ago

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

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and productionize machine learning applications for large-scale enterprise platforms, partnering with Product and Data Science on end-to-end ML development. Design and implement ML architectures, models, and data pipelines, and ensure high availability and performance through testing, CI/CD, monitoring, and automated deployments. Maintain, retrain, and govern models with Responsible and Explainable AI practices while collaborating on an Agile team delivering big data and ML capabilities.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and deliver ML models and components for real-world business problems in collaboration with Product and Data Science.
  • •Make ML infrastructure decisions across model selection, data/feature selection, training, tuning, and validation.
  • •Write, test, automate, and deploy ML application code to enable state-of-the-art big data and ML capabilities.
  • •Retrain, maintain, and monitor models in production to ensure performance and reliability.
  • •Build optimized data pipelines and apply Responsible and Explainable AI practices while ensuring secure, well-governed code.

Pay and Benefits

Salary: USD 250,800 - 286,200 annually

Key Requirements

  • •At least 8 years designing and building data-intensive solutions using distributed computing.
  • •At least 4 years programming with Python, Scala, or Java.
  • •At least 3 years building, scaling, and optimizing ML systems.
  • •At least 2 years building, retraining, maintaining, and monitoring models in production.
  • •Bachelor’s degree and at least 2 years leading teams developing ML solutions.
Experience:8+ yearsDistributed computingMachine learningBig dataPublic cloudProduction ML
Education:Bachelor's
Skills:Cross-functional collaborationTeam leadershipProblem-solvingClear communication
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformScikit-learnPyTorchDaskSparkTensorFlowCI/CDData pipelinesHyperparameter tuningModel validationResponsible AIExplainable 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