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 deploym