Full Stack Engineer 4 - MLOps

Discover Financial
United States
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["Collaboration","Iterative delivery","Technical delivery leadership","Partnering","Cross-functional coordination"]

Own the end-to-end MLOps lifecycle by taking research models to production microservices. Build and optimize automated data pipelines, model-serving platforms, and continuous monitoring for high-stakes ML use cases like fraud detection and vulnerability management. Write performant, maintainable code using Python with Java/Scala as secondary tools, leveraging AWS, Docker/Kubernetes, and ML frameworks (PyTorch, TensorFlow, Spark) to automate deployments and manage enterprise ML platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Discover Financial
Discover Financial
1 day ago

Full Stack Engineer 4 - MLOps

✓ Verified Job

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

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

Job Summary

Own the end-to-end MLOps lifecycle by taking research models to production microservices. Build and optimize automated data pipelines, model-serving platforms, and continuous monitoring for high-stakes ML use cases like fraud detection and vulnerability management. Write performant, maintainable code using Python with Java/Scala as secondary tools, leveraging AWS, Docker/Kubernetes, and ML frameworks (PyTorch, TensorFlow, Spark) to automate deployments and manage enterprise ML platforms.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the end-to-end MLOps lifecycle, deploying research models into production microservices.
  • •Design, build, and optimize automated data pipelines, model serving platforms, and continuous monitoring.
  • •Write performant, maintainable code using Python with strong software engineering practices focused on resiliency and remediation.
  • •Balance hands-on engineering with technical delivery leadership by guiding engineers and partnering with product management.
  • •Leverage AWS, container orchestration (Docker/Kubernetes), and ML tooling (PyTorch, TensorFlow, Spark) to automate model deployment and manage enterprise ML platforms.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor’s degree or higher in Computer Science or a related quantitative field.
  • •At least 4 years of experience in software engineering (internship experience does not apply).
  • •At least 2 years of experience with public cloud platforms (AWS, GCP, Azure) or virtualization technologies.
  • •At least 2 years of experience building, scaling, and optimizing ML systems.
  • •Experience using an industry-recognized ML framework (e.g., scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
Experience:Machine learningMLOpsData pipelinesOpen source
Education:Bachelor's
Skills:CollaborationIterative deliveryTechnical delivery leadershipPartneringCross-functional coordination
Tech Stack:PythonJavaScalaAWSGCPAzureDockerKubernetesPyTorchTensorFlowSparkScikit-learnDaskGoSQL

Eligibility

Visa:H1BF-1 OPTF-1 STEM OPTF-1 CPTJ-1TNE-3O-1
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