Machine Learning Engineering | Python

Artificial Intelligence / Machine Learning Specialist | Digital Transformation & Solutions

Are you specialised in AI / ML and would you like to work with the latest technologies to help organisations in their digitalisation?


This organisation is an Artificial Intelligence Solutions firm. They believe that digitalisation is key in making decisions, since most organisations start working data-driven. They focus on innovation and this is core of their business, since they fully understand how difficult it can be for organisations to make changes in the digital world. This organisation beliefs that AI and ML are key drivers for business changes.

Role & Team:

As an AI / ML specialist, in an agile team, you will demonstrate clients what is possible with AI and ML technologies and how this can create benefits for their organisation. Together with your client and your colleagues you will create roadmaps and realise these stat-of the art cases. In your role you will focus on modelling and building data pipelines. You will work closely with the Business Consultants, Data Engineers, Software Engineers and network partners. Any examples of digital solutions:

  • Introduction of voice enabled chatbots;
  • Digital twins to reduce waste of production processes;.
  • Text analysis to classify documents and emails.

What they are looking for:

  • Minimum of 1 year of relevant experience as a AI / ML specialist;
  • Academic degree;
  • Ambition to gain expert knowledge and willingness to learn;
  • Experience in AI tools such as: Tensorflow, NoSQL, Hadoop and Python;
  • Experience in either supervised, unsupervised and/or reinforcement learning approaches;
  • A digital business mindset;
  • Team player;
  • Knowledge of English and/or Dutch.

They are offering:

  • Salary to €70K;
  • Employee ownership of company shares;
  • Flexible working hours;
  • Possibility to work from home;
  • 32 – 40 hours per week;
  • Possibility to take unpaid leave;
  • Laptop and phone;
  • Mobility policy (e.g. lease car);
  • Growth opportunities and investment in trainings;
  • An ambitious innovative and dynamic work environment.


If you are interested in these (or another data-related) positions, please don’t hesitate to send me an email to: of give me a call at 06 82 44 92 34. If you add your latest CV, I can have a look and give you a call back!



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