H2O.ai is the leading AI cloud company, on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI provider to more than 20,000 global organizations, including AT&T, Allergan, Bon Secours Mercy Health, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA and Wells Fargo are not only customers and partners, but strategic investors in the company. H2O.ai’s customers have honored the company with a Net Promoter Score (NPS) of 78— the highest in the industry based on breadth of technology and deep employee expertise.
The world’s top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are employees of H2O.ai. A strong AI for Good ethos to make the world a better place and responsible AI drive the company’s purpose.
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We are looking for members of our DevOps team at the individual contributor levels for Machine Learning and Deep Learning. You will work very closely with the engineering teams to increase engineering efficiency through automation and CICD. This job involves actual implementing of solutions, deployments, functionality, performance, security and operational scalability including administrative tasks. This is an excellent opportunity to learn about machine learning as a key member of our world-class team.
A good working knowledge of Python, bash, AWS, GCE are strongly recommended.
What We Are Looking For
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.