Machine Learning Engineer 3

Discover Financial
Richmond, New York, Plano
Workplace: OnsiteFull timeUSD 147,100 - 201,400 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Iterative delivery"]

Build and deliver machine learning models and ML components to solve real business problems, partnering with product and data science teams. Design ML infrastructure decisions, including feature/model selection, training, tuning, validation, and production monitoring. Develop and test application code, automate deployment using CI/CD, and maintain retraining pipelines. Use cloud platforms and Kubernetes to scale production ML systems and construct optimized data pipelines with strong risk governance and Responsible/Explainable AI practices.

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FursaFursa
Discover Financial
Discover Financial
12 hours ago

Machine Learning Engineer 3

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and deliver machine learning models and ML components to solve real business problems, partnering with product and data science teams. Design ML infrastructure decisions, including feature/model selection, training, tuning, validation, and production monitoring. Develop and test application code, automate deployment using CI/CD, and maintain retraining pipelines. Use cloud platforms and Kubernetes to scale production ML systems and construct optimized data pipelines with strong risk governance and Responsible/Explainable AI practices.
Location: Richmond, New York, 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 for real-world business problems in collaboration with Product and Data Science teams.
  • •Make ML infrastructure and modeling decisions across model choice, data and feature selection, training, hyperparameter tuning, dimensionality reduction, and validation.
  • •Develop and test application code to build/validate ML models, automate tests, and support deployment.
  • •Collaborate on cross-functional Agile teams to create and enhance software for big data and ML applications.
  • •Retrain, maintain, and monitor models in production; construct optimized data pipelines and use CI/CD best practices for reliable deployment while ensuring governance and Responsible/Explainable AI.

Pay and Benefits

Salary: USD 147,100 - 201,400 annually

Key Requirements

  • •Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
  • •At least 3 years of programming experience with Python, Java, Golang, or C++.
  • •At least 2 years of machine learning experience using PyTorch or TensorFlow and libraries such as Pandas, NumPy, and Scikit-learn.
  • •At least 3 years of experience operating large-scale distributed systems (Spark, Ray) to prepare AI/ML data.
  • •At least 1 year deploying and operating ML solutions in production on cloud platforms (AWS, GCP, Azure) using Kubernetes.
Experience:3+ yearsMachine learningCloudDistributed systemsBig data
Education:Bachelor's in Computer Science, Machine Learning or related quantitative field
Skills:CollaborationProblem-solvingIterative delivery
Tech Stack:PythonScalaJavaGolangC++PyTorchTensorFlowPandasNumPyScikit-learnSparkRayAWSGCPAzureKubernetesCI/CDResponsible AIExplainable AIMachine learning models

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