Interview : Video

Visa : USC, GC, GC EAD

Locations : Minneapolis, Seattle, Chicago, or Bay Area ( candidate must be local to any of these locations )

Description :

Mandatory Skills: - 3-5 years experience working with MLOps system - Must have Healthcare industry experience - 3-5 years of experience in developing/working on MLOps systems, and an overall experience of 10+ years into Data Science - Expert on using Python to develop scripts for MLOps - Expert on cloud platform (Azure/AWS) developer environments Requirements Experience in - Designing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale - Organizing offline models that data scientists build and turn them into a real machine learning production system - Developing and deploying scalable tools and services for our clients to handle machine learning training and inference - Understanding application of software engineering rigor and best practices to machine learning, like CI/CD, automation, auditability, versioning, and data security (KubeFlow, MLFlow) - Developing and maintaining Client systems built with open source tools (Kale) - Facilitate the development and deployment of proof-of-concept machine learning systems - Previous work with data drift model drift - Expertise on Kubernetes, Kafka, and/or docker - Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) - Expert in using AWS or Azure Client tools (SageMaker/Azure Client etc.) [preferred]