Machine Learning Architect

My client is seeking an ML Architect to enhance model training pipelines, optimize inferencing performance, and collaborate on data pipelines! This is a new team that they are building out and are actively hiring for! Responsibilities include continuous integration, tracking for data and model performance, and maintaining scalable infrastructure in cloud environments. Ideal candidates will have expertise in ML frameworks, cloud infrastructure, and strong communication skills for team collaboration.

Qualifications:

• BS or above in Computer Science, Software Engineering, Data Science, or a related field
• 5+ years of industry experience building ML infrastructure at scale
• 2+ years of experience in developing and deploying large-scale systems, version control, scaling and monitoring
• Highly skilledExperience in Machine Learning frameworks (Tensorflow, Pytorch), big data frameworks (Spark/Hadoop/Flink)
• Experience task scheduling for large-scale distributed systems
• Proficient in Python/SQL and of C++/Go

**This is fully on site and will require you to be based in (or open to relocate to) the Bay Area!**