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Machine Learning Engineer for Edge AI at fast growing AI Company
Machine Learning Engineer for Edge AI at fast growing AI CompanyNomitri • Berlin, BE, DE
Machine Learning Engineer for Edge AI at fast growing AI Company

Machine Learning Engineer for Edge AI at fast growing AI Company

Nomitri • Berlin, BE, DE
Vor 2 Tagen
Stellenbeschreibung

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 development

  • Assess and solve new ML use cases

  • Go from scoping & design to production

  • Build and improve our internal ML framework

  • Automate and stabilize our training, evaluation and deployment pipelines

  • Build new ML models and efficient architectures

  • Build tools and use the tools you build

  • Exploratory data analysis, auditing, build tools for auto-labeling

  • Maintain and extend our ML data pipelines

  • Manage our on-premise and cloud storage and compute resources (GCP)


What you’ll bring:

Required Skill-Set

We value intelligence, curiosity and a solution-driven mindset higher than existing skills.

Still, for this role we expect you to have experience in:

  • 2 years of experience in the industry

  • Software engineering (Python)

  • Deep learning for Computer Vision

  • PyTorch

  • Model deployment and optimization with ONNX Runtime and TensorRT

  • Parameter / model studies, managing experiments

  • On the side: SQL, Git, Linux

Nice to have:

  • Computer Vision

  • Understanding and implementing research papers

  • Efficient Deep Learning / Model Compression / Knowledge Distillation

  • Data & annotation management

  • Model performance optimization for NVIDIA hardware platforms

  • Generative Models for text, image and video

  • TensorRT / ONNX & ONNX Runtime

  • CI / CD

  • Docker / Containers

  • Cloud storage and computer


Why Nomitri?

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.

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 & Vision AI space.

You will be part of an amazing innovation-driven growth story:

  • 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.

  • We are product-driven and work with renowned clients across Europe and beyond.

  • 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.

  • We are and always have been a very international team.

  • As a daughter company of Fujitsu & GK software, we are part of a large network of technical experts and can draw on extensive resources.

  • 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.

Jobalert für diese Suche erstellen

Machine Learning Engineer for Edge AI at fast growing AI Company • Berlin, BE, DE

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