Data Platform Engineer (f/m/d) for the European AI Factory HammerHAI

Description:Looking for an employer you can count on? Join us! Data Platform Engineer (f/m/d) for the European AI Factory HammerHAIYour Role and.

Responsabilidades

:Developing and maintaining the data facility of the AI Factory including its software environments in the context of AI, HPC and data analytics use cases for modern AI, high-performance and cloud computing systemsContributing to the initial (and evolving) service portfolio of the AI Factory within a friendly and open work environment in a highly motivated, international team with opportunities to contribute with your own ideasSupporting and enabling customers to publish, access and share their own AI data sets and modelsFostering contact with collaboration partners as well as stakeholders from the European AI ecosystem, relying on your friendly personality and communication skillsOpportunities to work with national and European partners on novel AI R&D projects from the private and academic sectorsMaintaining relationships with technology providers and system developers (software/hardware)Your

Calificaciones

:Required/Minimum Qualifications PhD or Master’s degree in computer or data science, or other areas of scientific computing, or a Bachelor’s degree with multiple years (>3) of applied data platform development / engineering / deployment experience and/or working with AI data management workflows ideally as senior engineer in research or enterprise environments  Other RequirementsProficiency working in data center environments (incl

Linux, Git, Gitlab)Willingness to keep up with current developments and to learn new technologies in the field of AIExtensive knowledge and experience in developing and working with data platforms including their backend components in the context of AI, HPC and data analytics use cases (preferably piveau, www.

de)Extensive knowledge.

Acerca de

and practical

Habilidades

in specifying and implementing FAIR-aligned (Findable, Accessible, Interoperable, Reusable) data management w...