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    Machine Learning Engineer

    Your role will be to architect and develop solutions that automate machine learning processes – training, versioning, serving, deploying in production – as well as improving our data management stack that is written primarily in Go.

     

    ShelfWise

    Since 2013, under the name of Fornax, we have been working in consulting in AI/Machine Learning/Big Data, appearing as machine learning experts or providing comprehensive end2end solutions. We have gathered a group of ambitious people, with experience in major technology companies, and our employees have been laureates of many international competitions, including victories in competitions on Kaggle.

    We’ve done various projects in different industries, but one thing that has not changed is the desire to write a really decent code and the best innovative exploration of the subject, so that the quality of our work was our best advertisement. We do not want to follow the crowd but we strongly believe in changing the status quo.

    The best illustration of these words is our product – ShelfWise. It is a world-class solution based on deep learning and image recognition, allowing for instant analysis of the store shelf. We debuted with ShelfWise in Singapore, delivering it to one of the largest FMCG companies in the world. Currently, we carry out tests and pilots with the largest companies in the country, and we are just starting to spin!

     

    Challenge

    You will become a member of a team that is not afraid of ambitious and great challenges. We are shaping ShelfWise so that it is an extremely useful and practical tool. If you want to have a huge impact on an innovative and cutting-edge product and become part of the exciting digitization of one of the most traditional sectors of the economy, we can not do anything else but encourage you to talk to us.

    • Tasks

      Maintain and improve an infrastructure stack (written in Python and Go) for storing and managing data used by ShelfWise’s deep learning models and other subsystems
      Engage in team collaborations to identify and fix process bottlenecks
      Architect and develop Big Data solutions

    • Requirements

      B.Sc. / M.Sc. in Computer Science, IT, or related areas
      2+ years of relevant experience
      Proficiency in Python or Go (knowledge of both is a plus)

    • Preferred skills and experience

      Ability to architect and develop Big Data solutions
      Experience working as a DevOps
      Knowledge of NoSQL databases and related frameworks
      Experience with Docker (knowledge of Kubernetes is a plus)
      Experience with build automation, continuous integration, configuration management, deployment systems
      Experience with TensorFlow Serving
      Experience with cloud services

    • Character traits

      Having a can-do attitude – you are proactive and see what needs to be done
      Being driven and self-disciplined
      Having a thirst for learning
      Easily engaging in team collaborations
      Possessing excellent interpersonal skills

    • What we offer

      Salary depending on experience 8k – 12k PLN net B2B or proportionally on full-time
      Working with a team of passionate people
      Great learning and growth opportunities
      Flexible working hours
      A laptop of your own choice, a comfortable workplace, free fruits and snacks