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 machine learning software developer


Machine Learning Software Developer

#artificialintelligence

Team Description: Kitware's Data and Analytics team helps internal and external customers deliver their next data and AI workflows with our expertise in emerging web and software infrastructure technologies. About the Projects: Kitware collaborates on a multitude of basic and applied research and development aimed to improve critical issues in today's world in order to advance health care, improve national security, combat human trafficking, and understand climate change. Our collaborators include the top universities from around the world, national research labs, medical device manufacturers, car manufacturers, financial institutes, government organizations, and many others. The projects range from extending our open source libraries and applications, such as Girder and VTK, to developing proprietary domain-specific vertical applications for a wide array of platforms including web and mobile devices. The Data and Analytics team focuses on building Python and JavaScript-based web systems that provide solutions for data management, analysis, and visualization.


Machine Learning Software Developer at RELEX

#artificialintelligence

What you'll be working on You would become a member of the machine learning development team, working on the more mathematically oriented features in our software, written in Java 11, Scala, Kotlin and JRuby. Working closely together with data scientists and domain experts, you'd be writing performant and beautiful code to implement new machine learning algorithms, as well as profiling, optimizing and improving existing ones. You get to work closely with experts both in the field of supply chain and in software engineering. What you'll bring to the table We offer flexible work hours and arrangements, the ability to choose your own tools, smartphone and broadband connection benefits and lots of sporting options. RELEX offers flexible career paths and the possibility to continuously develop your skills, for example by courses, conferences or moving between teams within the organisation according to your interests.