What you will be doing:
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 embed best practices in the world of machine learning operations.
Configuring Run:ai to match customer’s use case
Integrate run:ai into customer's existing MLops environment including scripting
Diagnosing and solving customer issues in sophisticated cloud native environments
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 Managers, Account SAs, 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.
What we need to see:
5 years of experience working in a customer facing role at a B2B SaaS/On Prem Software Company
Experience presenting to technical audiences and creating technical content for developers
Experience in Linux / Unix Operating Systems
Hands on experience with Kubernetes
Experience in containerization technologies like Docker, containers
Proven experience with software development
B.Sc in Computer Science or equivalent
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