Job Description & How to Apply Below
Join H2O.ai as a Customer Support Engineer focused on MLOps, troubleshooting, and enhancing AI applications. Work from Montreal or remotely with a team on cutting-edge technology.
You will play a key role in supporting customers within the PST time zone as part of the MLOps team. This position requires a strong software engineering background with significant use of Kubernetes. Engage with users to identify issues, contribute to software design, and ensure high-performance cloud-native solutions for machine learning applications.
Key Responsibilities:
• Help customers by addressing technical inquiries
• Reproduce bugs and identify root causes efficiently
• Design scalable features matching customer needs
• Write and test infrastructure code with Terraform
• Participate in promoting best software development practices
Requirements:
• Bachelor’s degree in Computer Science or related discipline
• At least 1 year of relevant hands-on experience
• Experience with microservices architecture
• Strong Linux command line skills
• Familiarity with Terraform and Helm
Leverage your skills to deliver outstanding support and contribute to advancements in AI with H2O.ai.
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