AI Education Expert (m/f/d) for the European AI Factory HammerHAI

Description: Looking for an employer you can count on? Join us! AI Education Expert (m/f/d) for the European AI Factory HammerHAI Your Role and Responsibilities: Developing and planning the AI Factory’s (AIF) portfolio of education & training offers within a friendly and open work environment in a highly motivated, international team Designing and organizing educational events, trainings and training series, collaborating with other trainers Ability and willingness to contribute with your knowledge to educational (and consultancy) offers for, primarily, manufacturing and engineering SMEs and start-ups Analysing the requirements and needs of targeted user groups with respect to training (and consulting) Collaborating within the corresponding work package of the AIF Fostering contact with collaboration partners as well as stakeholders from the European AI ecosystem, relying on your friendly personality and communication skills Supporting AI talent development in Europe and Germany by means of training and consulting within the AIF’s ecosystem Opportunities to work with national and European partners on novel AI projects from private and academic sectors Maintaining relationships with technology providers and system developers (hardware/software), as well as educational partners and providers when brokering training events Your Qualifications: Required/Minimum Qualifications PhD or Master’s degree in computer or data science, or other areas of scientific computing with at least 2 years of applied data analytics and machine learning/AI experience as senior engineer/data analyst in research or enterprise environments Other Requirements Knowledge and experience designing and organising training events and series as well as conducting your own training events Extensive knowledge about and practical skills applying Machine Learning/AI applications, frameworks, methods and models (e.g. Python, PyTorch, JAX, etc.) Willingness to keep up with current developments and to learn new technologies Proficiency working in Linux-based environments Excellent English and preferably German presentation and writing skills Additional or Preferred Qualifications Familiarity with Git-based version control systems like GitLab or GitHub Customer relationship management know-how Experience working at or with start-ups/small and medium-sized enterprises (SMEs) Conditions: Working time full time (40 hrs) / part-time possible flexible working model with electronic time recording Contract duration End of Q1/2028, further employment is intended Remuneration up to E 13, see Entgelttabelle TV-L Annual leave / compensatory time off 30 days (24.12. + 31.12. additionally day off) Overtime is compensated by additional time off Benefits Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement wit