H2O is the premier open-source machine learning platform that is transforming how machine-intelligence applications are built. With H2O, data scientists can take both simple and sophisticated models to production from the same interactive platform they use for modeling, at enterprise scales. Our customers have built powerful domaterin-specific predictive engines for recommendation, pricing, and outlier detection in fraud & insurance. The H2O.ai team is a mix of Software, Math, and Data Science people working together with the open source community to build H2O.
Software architecture, development, debugging, documentation and maintenance (Java, Python, Go, Typescript, D3.js, other languages as appropriate) for H2O.ai’s applications; perform technology research, prototyping and recommendations; UI development; conduct team training and mentorship; complete code review and commentary (Github, Jira, Confluence).
Bachelor’s degree in Computer Science, Engineering, or related field (or foreign equivalent), plus five (5) years of progressively responsible experience in the job offered, software development, architecture or engineering, or related occupation.
Skills and abilities:
Five (5) years of experience in software architecture and implementation; Open Source Ecosystem knowledge.