MLOps Consultant
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
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