Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
Strong programming skills, preferably in languages like Python, Java, or Scala
Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
Experience with containerization technologies, like Docker and Kubernetes
Familiarity with ML model deployment tools, such as MLflow or Kubeflow
Automation of machine learning model deployment.