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 innovative MLOps platform.

📌 MLOps Customer Support Engineer atO.ai (Montreal)
🏢 h2o.ai
📍 Montreal