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Machine Learning Operations (MLOps) Engineer

OPENLANE
Remote, USA
Full-time
Mid · 3+ years experience
Remote
Discovered 2 weeks ago

Full Job Posting

What We Offer:

  • Competitive pay
  • Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
  • Immediately vested 401K (US) or RRSP (Canada) with company match
  • Paid Vacation, Personal, and Sick Time
  • Paid maternity and paternity leave (US)
  • Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)
  • Robust Employee Assistance Program
  • Employer paid Leap into Service Day to volunteer
  • Tuition Reimbursement for eligible programs
  • Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization
  • Company culture of internal promotions, diverse career paths, and meaningful advancement
  • Sound like a match? Apply Now - We can't wait to hear from you!

Qualifications

  • Experience with workflow orchestration (e.g., Airflow, Kubeflow, Step Functions), infrastructure-as-code (e.g., Terraform), and CI/CD systems.
  • Familiarity with model serving frameworks (e.g., TorchServe, TF Serving, Triton, BentoML, SageMaker endpoints) and monitoring tools (e.g., Prometheus, Grafana, Evidently AI).
  • Hands-on experience with system debugging, observability, and incident response in production environments.
  • Experience with ML platforms and tooling such as SageMaker, MLflow, Databricks, or Vertex AI (GCP).
  • Experience with feature stores, model registries, or LLM/GenAI deployment and evaluation (LLMOps).
  • Experience with GPU workload scheduling and inference cost optimization.

Preferred Qualifications

  • Bachelor’s degree preferred or equivalent practical experience.
  • Experience with containers and Kubernetes (Docker, EKS preferred).

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