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Bewerbung per E-Mail an das Unternehmen. Bewerbung per E-Mail an das Unternehmen.

Working Student Business Development (16-20h/week)

Nomitri GmbH

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Responsibilities

• Collaborating with the team on business strategy and objectives 

• Identifying business opportunities through market research  

• Maximizing business reach through deployment of a marketing strategy

• Building and maintaining successful relationships with prospects and existing customers 

• Becoming an expert in our business products, processes and operations and remain up-to-date on business news in the field of AI and Edge AI 

 

Qualifications

• Currently enrolled in a business or engineering related Master’s degree or equivalent (e.g. work experience)

• Outgoing and social personality

• Demonstration of passion, hard work and motivation in any field of activity 

• Excellent verbal and written communication skills in English and German (English is our company language, however, we have a large percentage of German-speaking clients)

• The ability to work both in a team environment and independently

• Innovation and problem-solving skills

• Eagerness to learn and create impact 

• Agility in mind and work

 

Job Benefits 

We combine a family-like working environment with an ambitious commercial and technological vision. We are in a great position to realize this vision given our strong funding situation and a wide commercial network. You will be joining a very promising and exciting venture with the opportunity to learn from experienced colleagues as well as developing your own set of skills.

 

Our office is located in Berlin Mitte.

 

How to apply?

Please send your resume and cover letter to info@nomitri.com

Einsatzort

  • Berlin Mitte (10115)

Über das Unternehmen

We are a highly innovative software company based in Berlin working on cutting edge technology. We focus on deploying Deep Learning and Computer Vision applications to mobile and embedded platforms. We combine a familiar working environment with an ambitious commercial and technological vision. We are in a great position to realize this vision given our strong funding situation and a wide commercial network. Our amazing engineering team combines experienced experts in the fields of deep learning as well as embedded computer vision, supported by equally experienced DevOps and network admin experts. Completing the picture are our experienced mobile and full stack developers. This rare combination enables us to work on cutting edge deep learning solutions in an efficient scalable development and deployment pipeline and integrate these solutions into professional and commercially viable applications. We currently have three Phd.s on the team, a strong publication record in deep learning and all of our team members have a minimum of 7 years of professional work experience, with the average experience being >10 years. Our deep learning experts have experience designing cutting-edge Deep Learning models from scratch as well as bringing them to production in the fields of autonomous driving and medical imaging. Our embedded camera experts have experience in designing and building their own camera systems from scratch and building highly optimized commercial C++ Computer Vision applications.

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