Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

Discover Financial
New York
Full timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Iterative delivery","Problem-solving","Attention to risk","Automation"]

Design, build, and deploy production-ready machine learning models and components to solve real business problems. Work with Product and Data Science teams to improve ML infrastructure, data pipelines, and model training workflows, including hyperparameter tuning and validation. Collaborate in Agile teams using CI/CD and monitoring, retraining and maintaining models in production, and applying Responsible and Explainable AI and risk-governed practices.

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Discover Financial
Discover Financial
1 day ago

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Design, build, and deploy production-ready machine learning models and components to solve real business problems. Work with Product and Data Science teams to improve ML infrastructure, data pipelines, and model training workflows, including hyperparameter tuning and validation. Collaborate in Agile teams using CI/CD and monitoring, retraining and maintaining models in production, and applying Responsible and Explainable AI and risk-governed practices.
Location: New York
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deliver ML models and components that address real-world business problems with Product and Data Science teams.
  • •Develop and validate ML models and production pipelines, including training, hyperparameter tuning, feature selection, and model monitoring.
  • •Solve complex problems by writing and testing application code, automating tests and deployment, and ensuring successful releases.
  • •Collaborate in Agile teams to create and enhance software for state-of-the-art big data and ML applications.
  • •Retrain, maintain, and monitor models in production while using Responsible and Explainable AI and risk-governed best 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.
  • •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 such as Pandas, NumPy, and Scikit-learn.
  • •At least 4 years operating large-scale 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.
Experience:4+ yearsMachine learningBig dataDistributed systemsOpen sourceCloudProduction ML
Education:Bachelor's in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Skills:CollaborationIterative deliveryProblem-solvingAttention to riskAutomation
Tech Stack:PythonScalaJavaGolangC++PyTorchTensorFlowPandasNumPyScikit-learnSparkRayAWSGCPAzureKubernetesCI/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