Location: Berlin, Germany (hybrid: 3 days in-office, 2 days remote)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.
We are looking for a Machine Learning Engineer to support the ML team in bringing state-of-the-art machine learning models to production.
We work on object detection, scene understanding, self-supervised learning, temporal models, representation learning, model compression, efficient architectures and many other exciting topics.
 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.
What you’ll do:You will cover all phases of the ML life cycle and production-grade developmentAssess and solve new ML use casesGo from scoping & design to productionBuild and improve our internal ML frameworkAutomate and stabilize our training, evaluation and deployment pipelinesBuild new ML models and efficient architecturesBuild tools and use the tools you buildExploratory data analysis, auditing, build tools for auto-labeling Maintain and extend our ML data pipelinesManage our on-premise and cloud storage and compute resources (GCP)What you’ll bring:Required Skill-SetWe value intelligence, curiosity and a solution-driven mindset higher than existing.