Skill

MLOps (Machine Learning Operations)

Data Science, Analytics and AI/ML

MLOps (Machine Learning Operations) is a discipline that applies DevOps-style automation and collaboration practices to the machine learning lifecycle, spanning data preparation, model training, deployment, and monitoring. It helps organizations move models from research notebooks into reliable, scalable production systems while managing versioning, reproducibility, and performance drift. ML engineers, data scientists, and infrastructure teams collaborate using this practice, often supported by tools like MLflow, Kubeflow, and cloud ML platforms.

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• Kubeflow
• MLflow
• DevOps
• Data Engineering
• Model Deployment