TL;DR

AI/ML Model Runtime Engineer (AI): Designing and implementing scalable solutions for a private cloud AI platform with an accent on Kubernetes-based control plane for ML inferencing services. Focus on troubleshooting complex issues, augmenting AI services, and developing enhancements for diverse ML models.

- Location: Must not require work visa/sponsorship

Company

%hirify_global% is a leading technology company.

What you will do

Collaborate with cross-functional teams to design and deliver expanded capabilities of Kubernetes-based platform services for AI
Troubleshoot and resolve complex issues related to Private AI inference services and their performance
Augment the AI services platform to support diverse inferencing and embedding engines
Develop enhancements to the AI services platform to support a large set of ML models
Participate in code reviews and ensure that the code is aligned with VMware's coding standards
Develop and maintain automated tests to ensure the quality and reliability of the Private AI feature set

Requirements

5+ years experience in production quality Python code
5+ years of hands-on experience with Container technologies (Docker and Kubernetes)
Experience with CUDA or other numeric computing libraries is a plus
Strong analytical and diagnostic skills with the ability to independently solve complex problems
Excellent communication and collaboration skills
Experience with agile development methodologies and version control systems, such as Git
BS in Computer Science or related technical fields and 12+ years of related experience or MS in Computer Science or related technical fields and 10+ years of related experience