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TRAX RETAIL

position: Data Recognition Specialist

Trax is a leader in AI solutions for retail and one of the fastest-growing technology companies globally. The world’s top consumer goods companies and retailers use our cloud platform to gain the power to see what happens at the shelf and the agility to delight shoppers in new ways. Our customers are the world’s most loved consumer brands like Coca-Cola, Nestle, Unilever, P&G and Heineken, just to name a few.

Qualifications required: information technology, technical management, economics, finance

Tasks:
Recognition Services is responsible for the digitization of the images received through various platforms - Mobile App, API, Installed Cameras, Robots, you name it. The higher the image recognition accuracy and the product database completion, the bigger success for our team. We aim to deliver high data quality both to our clients and our Computer Vision developers to get the perfect match between business and technological needs.

 

  • Reporting: work with large Excel databases and extract reports.
  • Quality: continuously check the quality of the image recognition system.
  • Support: the delivery of projects, global processes, clients’ requests, and inquiries.
  • Management: manage our product information and image database and make sure that the right configurations and details are implemented.
  • Coordination: act as a 1st point of contact and manage our back-office regarding any recognition-related issue.

 

 Requirements:

You are looking for us if You:

  • Are a confident user of Microsoft Excel and PowerPoint
  • Have strong analytical skills and attention to details
  • Have excellent problem-solving skills
  • Can easily communicate in English
  • Are able to handle multiple projects
  • Can work and manage your time independently

 

Further information:

What we can provide You in return:

  • Supportive environment: You can rely on us from your first working day. You will be cared for and get every support and feedback you need for your personal development.
  • Learning platform: You can access hundreds of courses and articles in order to keep your knowledge fresh and gather new skills.
  • Career path: We pay high attention to internal promotion. You can continue your career either in a more technical role within our R&D team or become our next team lead within Operations.
  • International environment: With 20 offices worldwide, you will definitely get in touch with other cultures and gain useful experience in an international environment.
  • Flexibility: We have a high-trust culture with freedom to manage your own schedule.
  • Wide range of fringe benefits: AYCM card, culture-related benefit, health insurance package, performance bonus, home office allowance.

 

What your future team members love about their job:

  • “An amazing and supportive international team, I work with some awesome, talented, funny and dedicated people.”
  • “I love that I’m encouraged to try new things out and be innovative.”
  • “We mostly work in user-friendly systems that are easy to learn how to use them, but we also have the option to use more advanced tools.”

 

Apply: HERE