MLOps Consultant

Job Summary

A company is looking for a Remote MLOps Consultant.

Key Responsibilities:

• Design and implement automated, scalable, and reproducible MLOps pipelines
• Collaborate with data scientists, machine learning engineers, and DevOps teams to align ML models with production systems
• Guide and train the DevOps team on MLOps frameworks, best practices, and tooling

Required Qualifications:

• 2+ years of proven experience in MLOps, including model deployment, monitoring, and automation
• Strong background in DevOps practices and tools (e.g., Docker, Kubernetes, Terraform, CI/CD)
• Proficiency in machine learning lifecycle management tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
• Solid programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with the main cloud platforms, particularly with AWS