Kforce has a client seeking a remote Machine Learning Engineer to join their team. Summary: The Machine Learning Engineer will be primarily working on machine learning enablement. The goal is to help them accelerating on their machine learning projects/applications. This team will analyze how users adopt ML and identify the needs, and work with the other teams to strategically plan out how to make machine learning experience better. This is a new team and their long term goal is to continue to build/scale ML apps in the cloud and ultimately support the business and their needs to help drive revenue. As a Machine Learning Engineer, you will be assisting other teams for MLOps projects to deliver an end-to-end production ready ML model pipeline for deep learning and non-representation-based ml model using Vertex AI, MLFLOW, TensorFlow, Pytorch, Sci-kit learn TensorFlow Serving, Torch Serving, mlflowServing, Docker, Kubernetes and GCP. They will be building their own models for other teams to then use.