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Software Engineer for Open source (EMEA)

About H2O.ai

H2O.ai is the open source leader in AI with a mission to democratize AI for everyone. 

H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing. 

H2O.ai partners with leading technology companies such as NVIDIA, IBM, AWS, Intel, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxess. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai.

 

Job description: 

Design, improve and implement parallel distributed Machine Learning (ML) algorithms and platform software supporting ML algorithm development; conduct performance and accuracy measurement for Machine Learning algorithms; perform prototyping, assessment, and integration of third-party ML algorithms; distributed Server Java development in a Linux environment; engage in Java, Python API, and code development; create unit tests; perform software debugging.

 

Qualifications:    

  • Expert-level Java
  • Big Data platform, preferably Hadoop, Kubernetes
  • Expert software engineering skills - version control systems, rapid application development, continuous integration.
  • Ability to work in distributed international team
  • It is a bonus if you 
    • Know other application-oriented languages such as Python or Go.
    • Have experience creating other types of APIs, such as RPC
    • Have knowledge of Machine Learning (including ML algorithms)
    • Can work with Kerberos, Docker

Benefits:

  • Location specific benefits
  • Great company culture
  • Flexible working hours and home office

 

Location: Czechia, Slovakia, Poland, Hungary, Austria

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