Machine Learning Engineer for Edge AI at fast growing Berlin AI Company

<p><strong><span style="color: #000000">Location:</span></strong><span style="color: #000000"> Berlin, Germany (hybrid: </span><strong><span style="color: #000000">3 days in-office</span></strong><span style="color: #000000">, 2 days remote)</span></p><p><span style="color: #000000">Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily.</span></p><p><span style="color: #000000">We are looking for a Machine Learning Engineer to support the ML team in bringing state-of-the-art machine learning models to production.</span></p><p><span style="color: #000000">We work on object detection, scene understanding, self-supervised learning, temporal models, representation learning, model compression, efficient architectures and many other exciting topics. </span></p><p><span style="color: #000000">You will contribute to a broad spectrum of topics ranging from implementing research ideas over improving our training and deployment pipelines to enhancing our data quality and efficiency.</span></p><br /><br /><h3><strong><span style="color: #000000">What you’ll do:</span></strong></h3><p style=";"></p><p><strong><span style="color: #000000">You will cover all phases of the ML life cycle and production-grade development</span></strong></p><ul><li><p><span style="color: #000000">Assess and solve new ML use cases</span></p></li><li><p><span style="color: #000000">Go from scoping &amp; design to production</span></p></li><li><p><span style="color: #000000">Build and improve our internal ML framework</span></p></li><li><p><span style="color: #000000">Automate and stabilize our training, evaluation and deployment pipelines</span></p></li><li><p><span style="color: #000000">Build new ML models and efficient architectures</span></p></li><li><p><span style="color: #000000">Build tools and use the tools you build</span></p></li><li><p><span style="color: #000000">Exploratory data analysis, auditing, build tools for auto-labeling </span></p></li><li><p><span style="color: #000000">Maintain and extend our ML data pipelines</span></p></li><li><p><span style="color: #000000">Manage our on-premise and cloud storage and compute resources (GCP)</span></p></li></ul><p><br /></p><h3><strong><span style="color: #000000">What you’ll bring:</span></strong></h3><p style=";"></p><p><strong><span style="color: #000000">Required Skill-Set</span></strong></p><p><span style="color: #000000">We value intelligence, curiosity and a solution-driven mindset higher than existing skills. </span></p><p><span style="color: #000000">Still, for this role we expect you to have experience in:</span></p><ul><li><p><span style="color: #121317">2 years of experience in the industry</span></p></li><li><p><span style="color: #000000">Software engineering (Python)</span></p></li><li><p><span style="color: #000000">Deep learning for Computer Vision</span></p></li><li><p><span style="color: #000000">PyTorch</span></p></li><li><p><span style="color: #000000">Model deployment and optimization with ONNX Runtime and TensorRT</span></p></li><li><p><span style="color: #000000">Parameter / model studies, managing experiments</span></p></li><li><p><span style="color: #000000">On the side: SQL, Git, Linux</span></p></li></ul><p style=";"></p><p><strong><span style="color: #000000">Nice to have:</span></strong></p><ul><li><p><span style="color: #000000">Computer Vision</span></p></li><li><p><span style="color: #000000">Understanding and implementing research papers</span></p></li><li><p><span style="color: #000000">Efficient Deep Learning / Model Compression / Knowledge Distillation</span></p></li><li><p><span style="color: #000000">Data &amp; annotation management</span></p></li><li><p><span style="color: #000000">Model performance optimization for NVIDIA hardware platforms</span></p></li><li><p><span style="color: #000000">Generative Models for text, image and video</span></p></li><li><p><span style="color: #000000">TensorRT / ONNX &amp; ONNX Runtime</span></p></li><li><p><span style="color: #000000">CI / CD</span></p></li><li><p><span style="color: #000000">Docker / Containers</span></p></li><li><p><span style="color: #000000">Cloud storage and computer</span></p></li></ul><h3><br /><strong>Why Nomitri?</strong> </h3><p style=";"></p><p><span style="color: #000000">We are Nomitri, a cutting-edge Vision Edge AI company based in Berlin. And we are looking for a Machine Learning Engineer who is ready for the challenge of building world-class Vision Edge AI technology.</span></p><p style=";"></p><p><span style="color: #000000">You will join our world-class engineering team (ex-Facebook, ex-Amazon, ex-Google, Cambridge, etc.) to help us stay on top of the latest developments in the Edge &amp; Vision AI space. </span></p><p style=";"></p><p><span style="color: #000000">You will be part of an amazing innovation-driven growth story:</span></p><ul><li><p><span style="color: #000000">We are pioneers in the field of Edge AI inference applications, repeatedly tackling technical challenges as the first in the world. Since 2019 we have built up a mature tech stack that allows us to develop and deploy new applications within weeks. </span></p></li><li><p><span style="color: #000000">We are product-driven and work with renowned clients across Europe and beyond. </span></p></li><li><p><span style="color: #000000">We look for highly motivated and curious minds - striving to become true experts in their respective fields. Hence, we offer the flexibility that you need to contribute - we offer you to work on-site or in a hybrid manner.</span></p></li><li><p><span style="color: #000000">We are and always have been a very international team.</span></p></li><li><p><span style="color: #000000">As a daughter company of Fujitsu &amp; GK software, we are part of a large network of technical experts and can draw on extensive resources.</span></p></li><li><p><span style="color: #000000">We are fast and agile. We break things if needed to improve and adjust fast. No hierarchy, no walls, no politics. At the end of each week, we see our progress. We discuss, we plan, and then execute; all together and in respect of each other’s contribution.</span></p></li></ul><p style=";"></p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>