Work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch) Strong background in MLOps practices, including CI/CD, containerization (Docker), Orchestration frameworks (Kubernetes, Airflow)
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full time