Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOpsStrong programming skills, preferably in languages like Python, Java, or ScalaProficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learnExperience with containerization technologies, like Docker and KubernetesFamiliarity with ML model deployment tools, such as MLflow or KubeflowAutomation of machine learning model deployment.