Scopic
Talent Community- MLOps Engineer
Remote MLOps role with clear candidate location fit.
PostedJul 19, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
USA
Role overview
Talent Community- MLOps Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
We’re Looking For Engineers Who
- Have 3+ years of hands-on experience in MLOps—from model deployment to monitoring and automation.
- Are proficient with Docker, Kubernetes, and infrastructure-as-code tools such as Terraform.
- Have experience with CI/CD for ML, using tools like Jenkins, GitLab CI/CD, or similar.
- Know how to operationalize machine learning using platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI.
- Have strong Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Understand cloud-based AI workflows and have hands-on experience with AWS, GCP, or Azure.
- Are passionate about scalable ML pipelines, AI model reliability, and continuous improvement.
Why This Opportunity Is Right for You
- You want to stay connected to AI-driven projects and future-ready MLOps roles.
- You thrive in automation, optimization, and data-driven infrastructure environments.
- You appreciate a forward-thinking approach to recruitment—one that values your long-term growth and expertise.
Why This Opportunity Is Right for You
- I consent that the data provided in this form, and the attached CV, will be used for Scopic's recruiting purposes and email communications.
- I consent to Scopic conducting an identity verification process as part of the hiring process. I understand that my personal information may be collected and processed for the purpose of verifying my identity in compliance with applicable laws.
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