Azure AI/MLOps Engineer

•             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.