Become part of H2O.ai as a Customer Support Engineer, deeply engaged in MLOps and real-time data solutions. Utilize your software engineering expertise in a flexible work setting. In this role, you will support the MLOps team within the PST timezone and be vital in addressing customer technical questions and issues.

You should be comfortable with Kubernetes as you will be involved in deploying and monitoring machine learning models. This position emphasizes collaboration and innovation while pushing the boundaries of AI applications. Key Responsibilities:

- Communicate with clients to resolve technical challenges
- Conduct bug analysis and propose effective fixes
- Draft design specifications for current software features
- Collaborate on end-to-end automation of tests
- Ensure high code quality through peer review

Requirements:

- Bachelor’s degree in a technical field
- Minimum 1 year of experience in software development
- Proficient in using Kubernetes and Docker tools
- Familiar with at least one programming language: Python, GoLang, or Java
- Understanding of cloud platforms like AWS, Azure, or GCP

Utilize your passion for technology to enhance customer experience at H2O.ai.

📌 O.ai Remote Customer Support Engineer (Montreal)
🏢 h2o.ai
📍 Montreal