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

Discover Financial
New York, San Francisco, Virginia, Richmond, Plano
Workplace: OnsiteFull timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Problem-solving","Iterative delivery","Cross-functional teamwork"]

Build and deploy machine learning solutions that power enterprise platforms and drive hyper-personalized, omnichannel messaging. Partner with Product and Data Science to design, train, validate, and monitor production ML models, while engineering scalable data pipelines and cloud architectures. Collaborate in an Agile environment to implement CI/CD, testing, and responsible AI governance, including retraining and continuous performance monitoring.

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FursaFursa
Discover Financial
Discover Financial
1 day 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 deploy machine learning solutions that power enterprise platforms and drive hyper-personalized, omnichannel messaging. Partner with Product and Data Science to design, train, validate, and monitor production ML models, while engineering scalable data pipelines and cloud architectures. Collaborate in an Agile environment to implement CI/CD, testing, and responsible AI governance, including retraining and continuous performance monitoring.
Location: New York, San Francisco, Virginia, Richmond, Plano
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

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 across modeling, feature selection, training, hyperparameter tuning, bias/variance, and validation.
  • •Write, test, and automate deployment of application code and ML models; collaborate on Agile software delivery for big data and ML applications.
  • •Retrain, maintain, and monitor ML models in production to ensure continued performance.
  • •Build optimized data pipelines and cloud-based architectures, applying CI/CD best practices and responsible governance for ML systems.

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.
  • •At least 4 years of programming experience with Python, Java, Golang, or C++.
  • •At least 4 years of machine learning experience using PyTorch or TensorFlow and libraries such as Pandas, NumPy, and Scikit-learn.
  • •At least 4 years of experience operating large-scale distributed systems like 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 to manage containerized ML systems.
Experience:AIMachine learningBig dataAdtechOpen source
Education:Bachelor's
Skills:CollaborationProblem-solvingIterative deliveryCross-functional teamwork
Tech Stack:PythonScalaJavaAWSGCPAzureSQLPyTorchTensorflowPandasNumPyScikit-learnSparkRayKubernetesCI/CDResponsible AIExplainable AI

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