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

Discover Financial
New York, San Francisco, Virginia, Richmond, Plano
Full timeUSD 179,400 - 245,600 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaborative","Cross-functional","Iterative delivery","Complex problem-solving","Responsible and Explainable AI"]

Build and deploy production machine learning systems that power scalable marketing and messaging experiences. You’ll design and train ML models, choose features and architectures, and ensure robust validation and monitoring. Work on cloud-based ML infrastructure, optimized data pipelines, and CI/CD automation for reliable releases. Partner with Product and Data Science within an Agile environment while applying Responsible and Explainable AI practices and strong software engineering fundamentals.

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FursaFursa
Discover Financial
Discover Financial
11 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: 11 hours agoStatus: Live
Reposted: similar role first listed 5 days ago

Job Summary

Build and deploy production machine learning systems that power scalable marketing and messaging experiences. You’ll design and train ML models, choose features and architectures, and ensure robust validation and monitoring. Work on cloud-based ML infrastructure, optimized data pipelines, and CI/CD automation for reliable releases. Partner with Product and Data Science within an Agile environment while applying Responsible and Explainable AI practices and strong software engineering fundamentals.
Location: New York, San Francisco, Virginia, Richmond, Plano
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 real-world business problems with Product and Data Science teams.
  • •Use ML modeling knowledge to make infrastructure decisions across model choice, data/feature selection, training, hyperparameter tuning, bias/variance, and validation.
  • •Write, test, and automate ML-related application code; develop and validate ML models; build and test deployment automation.
  • •Collaborate in a cross-functional Agile team to create and enhance software for big data and ML applications.
  • •Retrain, maintain, and monitor models in production, leveraging cloud architectures and optimized data pipelines with CI/CD and monitoring best practices.

Pay and Benefits

Salary: USD 179,400 - 245,600 annually

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field.
  • •At least 4 years programming with Python, Java, Golang, or C++.
  • •At least 4 years of Machine Learning experience using PyTorch or TensorFlow and libraries like Pandas, NumPy, and Scikit-learn.
  • •At least 4 years using distributed systems such as Spark and Ray to prepare AI/ML data.
  • •At least 2 years deploying and operating ML solutions in production on cloud platforms (AWS, GCP, Azure) using Kubernetes.
Education:Bachelor's in Computer Science, Machine Learning, or related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Skills:CollaborativeCross-functionalIterative deliveryComplex problem-solvingResponsible and Explainable AI
Tech Stack:PythonAWSSQLGenAIScalaJavaGolangC++PyTorchTensorFlowPandasNumPyScikit-learnSparkRayGCPAzureKubernetesCI/CDCI

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