Customer Support Engineer

Founded in 2012, H2O.ai is on a mission to democratize AI.

As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data.

Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST.

H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation.

With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.

About This Opportunity H2O.ai is at the forefront of the rapidly evolving MLOps landscape.

We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available.

Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.

We are looking for a Customer Support Engineer to be part of the MLOps team supporting PST time zone that is entrusted with developing a platform for deploying machine learning models, monitoring them and provide statistical analysis on the deployed models as they are used in real-time.

We are looking for individuals with a strong foundation in software engineering, a passion for cutting-edge technologies, and a drive to push the boundaries of MLOps.

This position is based in Montreal, Canada What You Will Do

• Engage with customers to identify and troubleshoot issues they face and answer technical questions.
• Analyze bug reports, reproduce issues, determine the root cause, and provide fixes.
• Provide design for new features focusing on the approach and patterns to solve the problem.
• Responsible for writing code along with relevant unit test cases.