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 systems
• Must have Healthcare industry experience
• 3-5 years of experience in developing/working on MLOps systems, and an overall experience of 10+ years in Data Science
• Expert in using Python to develop scripts for MLOps
• Expert in cloud platforms (Azure/AWS) developer environments

• Experience in designing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale
• Organizing offline models that data scientists build and turning 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)
• Facilitating the development and deployment of proof-of-concept machine learning systems
• Previous work with data drift and model drift
• Expertise in 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)