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

Lrz·Garching bei Münchensenior

In short

→Desarrollar y organizar formación en IA para pymes y startups de ingeniería
→Trabajar en equipo internacional en proyectos europeos de IA con enfoque en talento y innovación
→Destacado: Posibilidad de colaborar con instituciones académicas y privadas en proyectos de vanguardia

Proficiency working in English, preferably German

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What they ask for

✓Doctorado o máster en ciencia de datos, ciencias computacionales o áreas afines
✓2 años de experiencia aplicada en análisis de datos y ML/AI en entornos de investigación o empresa
✓Experiencia comprobada en diseño y organización de formaciones y eventos educativos
✓Conocimiento práctico de frameworks de IA (Python, PyTorch, JAX, etc.)
✓Dominio de entornos Linux
✓Excelente nivel de inglés (escrito y hablado), preferiblemente alemán

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PythonPyTorchJAXGitLabGitHubLinuxTV-L EntgelttabelleElectronic Time RecordingMobile WorkPension Plan (VBL)

Who should you write to at Lrz?

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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 g. Python, PyTorch, JAX, etc.) 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. 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 with Sports Facility Providers for Discounted Membership What you can expect at LRZ: Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly.

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