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 versatile 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