Role: Machine Learning
Location: Durham, NC - Remote
Duration is 12 months
Job description:
5+ years software engineering experience
2+ years MLOps experience
Software Engineer with MLOps experience with Openshift and Kubernetes
A strong DevOps, Data, and ML background
Strong Python experience
Experience with container orchestration (OpenShift, Kubernetes) on-prem or Cloud
Understanding of container technologies (Docker, CRIO)
Understanding of the main elements of the ML lifecycle, including data connection, ETLs, model training and deployment and the tools necessary to test and monitor models in productions
Exposure and/or understanding of technologies/tools such as: Keras, Pandas, TensorFlow, PyTorch, NumPy, DVC/CML, Weights and biases, Perfect
Experience in monitoring and performance analysis of Machine Learning AI and GPU server platforms
Being familiar with the AWS cloud environment