Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)

Discover Financial
Cambridge, San Jose, Richmond, New York
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Responsible AI","Code quality"]

Build and productionize machine learning applications at scale as part of an Agile team focused on ML engineering. Design and deliver ML models/components, make ML infrastructure decisions, and develop application code with automated testing and CI/CD for reliable deployments. Retrain, maintain, and monitor models in production, construct data pipelines that feed ML systems, and use cloud-based architectures to ensure high availability, performance, and responsible governance.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Discover Financial
Discover Financial
1 week ago

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and productionize machine learning applications at scale as part of an Agile team focused on ML engineering. Design and deliver ML models/components, make ML infrastructure decisions, and develop application code with automated testing and CI/CD for reliable deployments. Retrain, maintain, and monitor models in production, construct data pipelines that feed ML systems, and use cloud-based architectures to ensure high availability, performance, and responsible governance.
Location: Cambridge, San Jose, Richmond, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Design, build, and/or deliver ML models and components to solve business problems in collaboration with Product and Data Science.
  • •Inform ML infrastructure decisions using knowledge of modeling techniques, including training, hyperparameter tuning, validation, and bias/variance.
  • •Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • •Collaborate in an Agile, cross-functional team to create and enhance software enabling big data and ML applications.
  • •Retrain, maintain, and monitor models in production, and build optimized data pipelines to feed ML models.

Key Requirements

  • •Bachelor’s degree.
  • •At least 6 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 2 years building, scaling, and optimizing ML systems.
  • •At least 2 years developing performant, resilient, and maintainable code.
Experience:6+ yearsMachine learningDistributed computingData-intensive solutionsData pipelinesCloudBig data
Education:Bachelor's
Skills:CollaborationProblem-solvingResponsible AICode quality
Tech Stack:PythonScalaJavaAWSAzureGoogle Cloud PlatformKubernetesKServePyTorchTensorFlowScikit-learnDaskSparkCI/CDTest automationMonitoring

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