Customer Support Engineer

Founded in 2012, H2O.ai is at the forefront of the AI movement to democratize Generative AI. H2O.ai’s open-source Generative AI and Enterprise h2oGPT, combined with Document AI and the award-winning autoML Driverless AI, have transformed more than 20,000 global organizations and over half of the Fortune 500 and household brands, including AT&T, Commonwealth Bank of Australia, Chipotle, ADP, Workday, Progressive Insurance, and AES.

Our “AI for Good” program supports nonprofit groups, foundations, and communities in their efforts to advance education, healthcare, and environmental conservation, including identifying areas vulnerable to natural disasters and protecting endangered species.

We have a vibrant community of two million data scientists worldwide and aim to bring together the world’s top data scientists with customers to co-create GenAI applications that are usable and valuable by everyone. Business users can now leverage the power of LLMs to enhance productivity with enterprise applications.

H2O.ai is a Visionary in the 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We are the only provider in the market to offer both Predictive AI and Generative AI on premise and air gapped, in addition to supporting all cloud environments.


About This Opportunity

As a Customer Support Engineer at H2O.ai, you will play a critical role in ensuring our customers have a seamless experience deploying and managing machine learning models in production. You will be the bridge between our engineering teams and customers, providing hands-on technical support, troubleshooting complex issues, and helping users optimize their MLOps workflows.

This role is ideal for someone who enjoys problem-solving, has a deep understanding of Kubernetes-based architectures, and thrives in a customer-facing environment. You will work closely with our developers, data scientists, and DevOps teams to ensure smooth deployments and high availability of models. Additionally, you will have the opportunity to contribute to our platform's evolution by providing valuable insights from customer interactions.

If you're excited about working on cutting-edge cloud-native solutions, enabling real-time AI applications, and being part of a highly skilled team pushing the boundaries of MLOps, we’d love to hear from you!

This position is based in Bangalore, India.


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.
• Contribute to end-to-end automated tests by ensuring that the newer changes have relevant test cases. Knowledge of Python would be beneficial in this area.
• The company uses Kubernetes widely and working with Kubernetes would be an important aspect of the job.
• Review the design and code of other developers. Be engaged in the best software development practices and engage in improving the engineering efficiency of the team.
• Write Infrastructure Code using Terraform and Helm charts for any changes to infrastructure.

What We Are Looking For
 

• Strong knowledge: Linux, Bash, File systems, Logging, Linux file permissions.
• 1+ years of Kubernetes and Docker.
• 4 years+ of Software Engineering.
• At least one of: AWS, Azure, GCP.
• At least one of: GoLang, Python, C++, Java.
• Terraform and Helm.
• Relational Databases (e.g. SQL).
• Networking concepts and fundamentals (e.g. SSL, UDP/TCP, firewalls, and reverse proxies).
• Strong communication skills and comfortable being in a customer-facing role.
• Bachelor’s or a higher education degree in Computer Science/Engineering or related field.

How to Stand Out From the Crowd
 

• Experience with gRPC.
• Experience with Scala and Akka.
• Experience with Druid Database.
• Understanding of mainstream machine Machine Learning frameworks such as sklearn, pytorch and data science libraries like numpy and pandas.

Why H2O.ai?
 

• Market Leader in Total Rewards
• Remote-Friendly Culture
• Flexible working environment
• Be part of a world-class team
• Career Growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. 

H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.

Please visit www.H2O.ai to learn more.
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