Run:AI provides organizations with a world-class machine learning platform to improve productivity and efficiency for data scientists. Our product provides a Run:AI unique HPC scheduler, relies on Run:AI advanced GPUs virtualization technology and makes GPUs first class citizens in Kubernetes.

In this role you will be responsible for the following:

• Help our customers with the installation and onboarding of the Run:ai software
• On a daily basis to maximize to help increase the value of the Run.AI software. These includes:
• Helping data scientists and ML engineers with embedding of best practices in the world of machine learning operation.
• Configuring Run:ai to match the customer use case
• Writing code and script to complement the Run:ai solution to integrate to other tool in the customer’s Kubernetes environment
• Use existing profiling and analysis tools to find bottlenecks and low utilization of deep learning models.
• Collaborates with internal stakeholders (e.g.,Pre-sales Solution Engineers, Account Executives, Product) in the post-sale stage by understanding business requirements and providing industry and technical input.
• Develop new tools and scripts to help simplify integration between Run:ai to other Data Science tools.

Qualifications

• 3 years of experience working in a customer facing role at a B2B SaaS Software Company
• Experience presenting to technical audiences and creating technical content for developers
• Experience in Linux / Unix Operating Systems
• Experience in containerization technologies like Docker, containers
• Proven experience with software development
• Hands on experience with Kubernetes - Strong Advantage
• B.Sc in Computer Science or equivalent - Advantage