Join the MLOps team at H2O.ai as a Customer Support Engineer. You will analyze and troubleshoot issues, engage with customers, and contribute to deploying scalable machine learning models. H2O.ai, based in Montreal, is seeking a Customer Support Engineer to support the PST time zone.

The role requires a deep understanding of software engineering, Kubernetes, and cloud environments. You will engage with customers, troubleshoot issues, and design solutions, pushing the limits of MLOps technology. Key Responsibilities:
Engage with customers to troubleshoot engineering issues
Analyze bug reports and provide necessary fixes
Design recent features focusing on architecture and patterns
Write code with relevant unit tests for quality assurance
Contribute to automated testing and ensure code coverage Requirements:
Bachelor's degree in Computer Science or related field
At least 1 year of Software Engineering experience
Solid knowledge of Kubernetes and Docker
Proficient in Linux systems and command-line tools
Familiarity with Terraform and cloud providers like AWS or Azure Utilize your software engineering skills and customer engagement expertise to enhance H2O.ai's creative MLOps platform.

📌 Mlops Customer Support Engineer Ato Ai Montreal (Canada)
🏢 h2o.ai
📍 Canada