Working Student DevOps (gn) @ Machine Learning Venture, Berlin

This is a FoodLabs portfolio venture. Find out more about us and other opportunities in the portfolio here.

About us

We want to make humans faster, more productive, and less prone to errors – whatever their tasks might be.

In early 2019, we founded Nomitri to turn first academic research in the emergent field of embedded deep-learning vision AI into tangible industry product development. We believe that products built on this technology can fulfill the promise of AI: It enhances human performance and productivity while being privacy-preserving at the same time. This is particularly important in the computer vision field, where sensitive visual data is used.

We believe that technology can create a real positive impact for people. We also believe that good products are simple – even if they use cutting-edge technology.

About the role

We are seeking a proactive and motivated working student with a keen interest and prior hands-on experience in DevOps and Cloud infrastructure. Your primary responsibility will be to contribute to the maintenance and continuous enhancement of our on-premise and cloud infrastructure and workflows. This encompasses various aspects of our extensive research and product portfolio, which includes:

• ML data and training pipeline (both on cloud and on-premise)
• Mobile apps
• Backend services
• Highly optimized C++ libraries for use in embedded and mobile applications

As a valuable member of our team, you will have the opportunity to work closely with seasoned experts in each of these domains, gaining exposure to a diverse range of technologies and development workflows. Your role will involve:

• Collaborating on the enhancement of CI/CD processes across all development areas
• Assisting backend and data engineers in optimizing their cloud deployments
• Crafting and implementing effective logging solutions for diverse cloud deployments
• Contributing to the improvement of our ML Ops, with a focus on data management, job scheduling, resource utilization, and experiment tracking
• Maintaining and expanding our core on-premise infrastructure
• Extending and supporting our hybrid cloud and on-premise GPU cluster

This role offers a unique opportunity to actively participate in shaping and optimizing our infrastructure, making meaningful contributions to the efficiency and success of our projects. If you are enthusiastic about working with cutting-edge technologies and collaborating directly with our CTO.