Machine Learning Operations Engineer

Job is Expired
Location: Remote
Compensation: Salary
Reviewed: Tue, Apr 22, 2025
Machine Learning MLOps Data Engineering Data Pipelines

Job Summary

A company is looking for a Machine Learning Operations Engineer to join their team.

Key Responsibilities
  • Design and build data infrastructure/pipelines to support ML model development workflows
  • Develop and maintain MLOps infrastructure for automating model training, testing, deployment, and monitoring
  • Collaborate with cross-functional teams to implement best practices in CI/CD and version control for ML systems
Required Qualifications
  • 8+ years of professional experience, including 5+ years in data engineering architecture for ML workflows
  • 3+ years of experience in MLOps, DevOps, or a related field with a strong understanding of machine-learning lifecycle management
  • Experience with data pipelines for ML workflows and big data distributed processing (e.g., SPARK, DASK, RAY)
  • Proficiency in CI/CD tools, containerization technologies (Docker, Kubernetes), and cloud services (AWS, Azure, GCP)
  • Experience with MLOps frameworks
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