Kforce has a client that is seeking a fully remote Machine Learning Engineer to join their team. Summary: This candidate will be primarily working on machine learning enablement, with the goal of helping them accelerate their machine learning projects/applications. In this role, 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. You will also be building their own models for other teams to then use. 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. Overall, this team is very focused on culture which includes willingness to learn new technologies, share knowledge with the team, lend a helping hand when needed, and be a team player.* Computer Science degree/Masters in ML/AI or equivalent experience * 2+ years of ML/Data Science experience * Experience with VertexAI * Understands data science from hypothesis to production * Proficiency in Python, Pytorch, Tensorflow and GCP * Strong in SQL * Strong communication and culture fit (outgoing, team player, extremely collaborative)