Sr. ML OPS Engineer

Plano, TX, US • Posted 6 days ago • Updated 6 days ago
Part Time
On-site
Fitment

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Job Details

Skills

  • Docker
  • Python
  • SQL
  • Kubernetes
  • tensorflow
  • PyTorch
  • Scikit Learn

Summary

Job Title: Sr. ML OPS Engineer

Location: Plano, TX Onsite Role

Technical Skills

  1. Strong programming experience: Python, SQL
  2. Experience with ML frameworks: TensorFlow, PyTorch, Scikit Learn
  3. Expertise with cloud ML services: Azure ML, AWS Sagemaker, Google Cloud Platform Vertex AI
  4. Containerization & orchestration: Docker, Kubernetes
  5. CI/CD pipelines: GitHub Actions, Azure DevOps, Jenkins, GitLab CI
  6. Observability tools: Prometheus, Grafana, MLflow, Evidently AI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91009966
  • Position Id: 2026-29372
  • Posted 6 days ago
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