MLOps Engineer
Virtual Vocations Inc
To support a growing team, the full-time remote MLOps Engineer will automate model training, testing, deployment, and monitoring workflows while collaborating with Data Engineers and DevOps teams to operationalize ML solutions. Key responsibilities Implement model versioning, experiment tracking, and model registry solutions Monitor model performance, drift, and operational health in production environments Establish governance, security, access control, and auditability processes for ML platforms Required qualifications Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field Strong Python programming skills with experience in ML lifecycle management and deployment automation Hands-on expertise with tools such as MLflow, Kubeflow, and Amazon SageMaker Knowledge of Docker, Kubernetes, and CI/CD tools Experience taking ML/AI solutions from Proof of Concept (PoC) to Production
Vacancy posted 1 day ago
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