MLOps Engineer
Job Summary
Seeking a full-time remote MLOps Engineer, the candidate will automate model training, testing, deployment, and monitoring workflows while collaborating with Data Engineers and DevOps teams to operationalize ML solutions.
Key responsibilities
- Automate model training, testing, deployment, and monitoring workflows
- Implement model versioning, experiment tracking, and model registry solutions
- Monitor model performance, drift, and operational health in production environments
Required qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
- Strong Python programming skills
- Hands-on expertise with MLflow, Kubeflow, Amazon SageMaker, and AWS Step Functions
- Experience with CI/CD tools and DevSecOps practices
- Knowledge of Docker and Kubernetes
Complete Job Description
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