Machine Learning Lead Engineer : Fractal AI

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]