Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Discover Financial
New York, San Francisco, Richmond, Plano
Workplace: OnsiteFull timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Cross-functional teamwork","Agile delivery","Responsible and explainable AI"]

Build and deliver production ML models and components to solve real business problems, partnering with Product and Data Science in a cross-functional Agile environment. Drive major AI transformations for enterprise platforms by designing model training and infrastructure decisions, automating testing and CI/CD, and monitoring models in production. Construct optimized data pipelines and deploy scalable cloud-based architectures using AWS and container orchestration.

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FursaFursa
Discover Financial
Discover Financial
4 hours ago

Machine Learning Engineer 4 (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: 4 hours agoStatus: Live

Job Summary

Build and deliver production ML models and components to solve real business problems, partnering with Product and Data Science in a cross-functional Agile environment. Drive major AI transformations for enterprise platforms by designing model training and infrastructure decisions, automating testing and CI/CD, and monitoring models in production. Construct optimized data pipelines and deploy scalable cloud-based architectures using AWS and container orchestration.
Location: New York, San Francisco, Richmond, Plano
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and deliver ML models and components to solve real-world business problems in collaboration with Product and Data Science.
  • •Make ML infrastructure decisions including model choice, data/feature selection, training, hyperparameter tuning, dimensionality reduction, bias/variance, and validation.
  • •Write and test application code, develop and validate ML models, and automate tests and deployment.
  • •Retrain, maintain, and monitor models in production using cloud-based architectures, platforms, and best-practice CI/CD with monitoring.
  • •Construct optimized data pipelines for ML model training and evaluation, ensuring governed, secure code and responsible/explainable AI practices.

Pay and Benefits

Salary: USD 215,200 - 245,600 annually

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field.
  • •4+ years of programming experience with Python, Java, Golang, or C++.
  • •4+ years of machine learning experience using PyTorch or TensorFlow and libraries such as Pandas, NumPy, and Scikit-learn.
  • •4+ years operating large-scale distributed systems such as Spark and Ray to prepare AI/ML data.
  • •2+ years deploying and operating ML solutions in production on cloud (AWS, GCP, Azure) using Kubernetes for containerized ML systems.
Education:Bachelor's in Computer Science, Machine Learning, Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering
Skills:CollaborationCross-functional teamworkAgile deliveryResponsible and explainable AI
Tech Stack:PythonScalaJavaGolangC++AWSSQLGenAIPyTorchTensorFlowPandasNumPyScikit-learnSparkRayGCPAzureKubernetesDockerCI/CD

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