Aktuelle Jobs im Zusammenhang mit AI Infrastructure Consultant - Garching bei München, Bayern - Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften


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AI Infrastructure Consultant

vor 2 Monaten


Garching bei München, Bayern, Deutschland Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften Vollzeit
Position Overview:

As an AI Infrastructure Consultant, you will play a pivotal role in supporting researchers and academic users in leveraging our advanced AI service infrastructure. Your expertise will be essential in optimizing their system utilization and enhancing their research capabilities.

Key Responsibilities:
  • Collaborate within a dedicated team to provide guidance to researchers and academic users on the effective use of our AI service infrastructure.
  • Deliver second and third level support and consultancy to scientific users and research groups engaged in cutting-edge AI projects.
  • Manage user access and oversee the administration of the AI service infrastructure.
  • Gain access to state-of-the-art AI and high-performance computing resources, including GPUs, CPUs, and AI accelerators.
  • Engage directly with technology providers and developers, as well as national and European collaboration partners and projects.
  • Contribute to a friendly and open work environment within a highly motivated, international team, with ample opportunities to develop and implement your own ideas.
Essential Qualifications:
  • Strong proficiency in Linux operating systems.
  • In-depth knowledge and practical experience with Machine Learning and AI applications, frameworks, methods, and models (e.g., Python, PyTorch, JAX).
  • Familiarity with software containerization (e.g., Docker) and package management systems (e.g., pip or Conda).
  • Commitment to staying updated with the latest technological advancements and a willingness to learn new skills.
  • Proficient writing and presentation skills in German and/or English.
  • A personable demeanor to foster relationships with academic user communities.
  • A Master's degree in computer or data science, or related fields, or a minimum of three years of applied experience in data analytics and machine learning/AI within research settings.
Desirable Qualifications:
  • Experience with high-performance cluster systems, including workload/resource management systems and parallel file systems.
  • Familiarity with version control systems such as Git and GitLab, as well as CI/CD practices.
Working Conditions:

Field: AI and Big Data, High-Performance Computing

Employment Type: Full-time (40 hours) / Part-time options available

Contract Duration: 24 months, with the possibility of extension

Compensation: Up to E 13, in accordance with the applicable pay scale

Leave: 30 days of annual leave, with additional days off

Overtime compensated with additional time off.

Professional Development: Individual support for ongoing training and education.

Remote Work: Up to 60% of work time may be conducted remotely, when applicable.

Additional Benefits: Access to public transport, free parking, pension plan, and modern work equipment.

What We Offer:

We provide a stimulating and collaborative work environment where innovation thrives. At our institution, you will find a collegial atmosphere enriched by an international team of experts dedicated to advancing IT services for groundbreaking research. We prioritize work-life balance through flexible working arrangements and encourage creative contributions from our staff. As part of a prestigious academic institution, we offer all the advantages of public service employment.

We are committed to promoting diversity and welcome applications from talented individuals of all backgrounds, regardless of nationality, ethnicity, gender, sexual identity, physical abilities, religion, or age.

Application Process:

We look forward to receiving your complete application documents, including a cover letter, CV, and certificates, in a single PDF file. Please ensure that your application is submitted in the specified format.

About Us:

Since our establishment, we have been at the forefront of providing IT expertise to Bavarian universities and research institutions, leading the digital transformation of science.