AI-enabled Human Pick&Pack for Retail & Logistics

Measurable Results

Nomitri’s Intelligent Pick&Pack solution has been ‘live-in-operation’ since August 2022 and has proven to create major value for our customers. We are currently working with global Quick-Commerce players to help them improve their store operations.

300h

Picking Time Reduced

per micro-fulfilment center (MFC), resulting in significant reduction of picking resources needed.

80%

Net Promoter Score

during beta tests in selected MFC’s & supermarkets.

21%

Incidence Rate Decrease

Our Vision AI alerts pickers & supervisors when errors are made, resulting in a reduction of up to 21% incident rate.

2 Months

Return-on-Investment

Our retrofit & smartphone-based hardware strategy reduces CapEx requirements by a factor of 10 or more.

Our Partners & Customers

Interested to join our network?


Our Partnership with Zebra

We at Nomitri have recognized the importance of a strong partner network early on and are proud of it. We have also been working together with Zebra for 1.5 years now. Together with Zebra we cater the needs of our customers by bringing our software solutions to them on Zebra’s new generation devices, which are even more durable and steady and perfectly suited for our use cases in retail and logistics. 

 

Benefits of Embedded Deep Learning Vision AI

Embedded Vision AI brings the power of Deep Learning from the cloud to the Edge. It enables responsive real-time AI applications as images are processed immediately on-device. It does not only respect data privacy by design as no image data is being sent to the cloud, but by leveraging energy-efficient Edge hardware it also drastically reduces the energy footprint.

Consumer
Hardware
Energy
Efficient
Simple
Setup
No Wifi
Needed

We are
inventors

We teach smartphones, edge devices and embedded systems to see – intelligently.
In a real-time, energy-efficient and privacy-preserving way.

We combine experience, professionalism and drive with team spirit, creativity and room for experiments to enable innovation at the forefront of AI. We are passionate and visionary in everything we do – always striving to transform innovative ideas into practical solutions that make a difference for people.

Experience a live demo

Get answers to your specific questions and find out why Nomitri is the right choice for your business.

Working Student DevOps/ IT

We are looking for a working student with interest and prior practical experience in Devops and Cloud infrastructure topics to help us maintain and continuously improve our on-premise and cloud infrastructure and workflows for the development and deployment of our entire research and product portfolio which spans:

  • 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

In your role you will get exposure to a large variety of technologies and development workflows and will work closely with highly experienced experts in each of these areas.

The job

In your role, you would help us to 

  • Help improve the CI/CD in all our development areas
  • Help our backend and data engineers improve their cloud deployments
  • Design and implement logging solutions for our cloud various deployments
  • Help improve our ML Ops, especially regarding data management, job scheduling, resource utilization, experiment tracking
  • Maintain and extend our core on-premise infrastructure
  • Maintain and extend our hybrid cloud and on-premise GPU cluster

Required Skill-Set

In general we especially look for intelligent and curious people with a practical mindset and who are willing and hungry to learn new concepts and technologies as needed. 

It would still be required that you already bring solid experience in the following:

  • Linux (servers, preferably Debian)
  • Docker
  • Shell scripting
  • Network management (Firewall, VPN, DNS, DHCP)

It would be great if you also have some experience with 

  • Disk and storage management (NFS, DAS, NAS, LVM)
  • Virtual Machines (preferably using KVM or Xen on Linux) 
  • System and Data backup
  • Gitlab
  • Kubernetes

What we can offer you

You will be working with an interdisciplinary team of seasoned experts in the fields of Deep Learning, embedded computer vision, mobile app development and backend services with learning opportunities abound. Together with us you will work on highly innovative products employing cutting edge technologies pushing the state of the art.

We provide a dynamic and interdisciplinary working environment where you will play a major role in shaping the technology and solution stack of the company. Hence, you can expect continuous exposure to interesting challenges and new technologies adding important experiences to your existing skill set.  

We combine a familiar working environment with an ambitious commercial and technological vision and live product deployments. 

In short you will be joining a very promising and exciting venture.

Apply here or email us at: info@nomitri.com and we will get back to you – guaranteed.

ML engineer

Our cutting-edge, well-funded AI-DeepTech Start-Up based in Berlin is looking for a junior to mid-level Deep Learning Engineer who is ready for the challenge of building world-class on-device AI technology.

You will join our world-class engineering team (ex-Facebook, ex-Amazon, Cambridge, etc.) to help us stay on top of the latest developments in the Computer Vision Deep Learning space. 

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

  • We are pioneers in the field of embedded & mobile AI inference applications, repeatedly tackling technical challenges as the first in the world. Over the last 4 years we have built up a mature tech stack that allows us to develop and deploy new applications within weeks. 
  • We are product-driven and have already two products in production. 
  • 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. 
  • 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.

The Job

We are looking for a Junior Deep 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, 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.

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
  • Improve our model compression technology
  • Build tools and use the tools you build
  • Exploratory Data Analysis (EDA), auditing, build tools for auto-labeling 
  • Maintain and extend our ML-related Postgres databases
  • Manage our on-premise and cloud storage and compute resources (GCP)

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:

  • Writing correct and readable Python code
  • Deep learning for Computer Vision
  • PyTorch
  • Doing meaningful parameter / model studies, managing experiments
  • On the side: SQL, Git, Linux

Additionally, it would be great if you already have experience in any of the following:

  • Computer Vision
  • Understanding and implementing research papers
  • Efficient Deep Learning / Model Compression / Knowledge Distillation
  • PyTorch Mobile / ONNX & ONNX Runtime
  • CI / CD
  • Docker / Containers
  • Cloud storage and compute

What we can offer you

You will be working with an interdisciplinary team of seasoned experts in the fields of Deep Learning, embedded computer vision, mobile app development and backend services with learning opportunities abound. Together with us you will work on highly innovative products employing cutting edge technologies pushing the state of the art.

We provide a dynamic and interdisciplinary working environment where you will play a major role in shaping the technology and solution stack of the company. Hence, you can expect continuous exposure to interesting challenges and new technologies adding important experiences to your existing skill set.  

We combine a familiar working environment with an ambitious commercial and technological vision and live product deployments. 

In short you will be joining a very promising and exciting venture.

Apply here or email us at: info@nomitri.com and we will get back to you – guaranteed.