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Clariti Cloud Inc.

Senior MLOps Engineer

Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “US (Remote) ; CANADA (Remote), US (Remote),”
Apply on Clariti Cloud Inc.'s site ↗

Opens the employer's official application page.

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About this role

Clariti Cloud Inc. is hiring for a Senior MLOps Engineer role. See the official posting for full details.

Requirements

  • 6–10+ years of experience in software or ML engineering, with at least 3+ in MLOps or ML infrastructure
  • Solid experience working with Python, C, C++, Bash, etc
  • Proven experience deploying and managing ML models in production
  • Proficiency with Docker, and Kubernetes for scalable ML system design
  • Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration
  • Hands-on knowledge of CI/CD pipelines (GitHub Actions, Jenkins, or similar) Familiarity with MLflow, Weights & Biases, Kubeflow, and other similar tools for experiment tracking and pipeline automation
  • Solid understanding of data versioning, model reproducibility, and monitoring strategies
  • Excellent problem-solving skills and a collaborative, team-oriented mindset

Summarized from the employer's posting — check the full posting for every requirement.