Job Description DAY 1 ON-SITE Skill Set: Good Experience in NLP and sentiment analytics development on Google Cloud Platform. Experience in Vertex AI or AI Platform and AutoML Knowledge of Doc AI and Health Care NL API. Knowledge of kubeflow. Experience with Knowledge graph. Responsibility: Experience of end-to-end ML development life cycle. Ownership to build, train, test and evaluate ML models. Ensure the quality of models by experiment and evaluating the accuracy. Enable models for ML Ops. - provided by Dice