Artificial Intelligence Engineer
Do you want to stretch (technical) boundaries? And do you know how to develop scalable and reliable machine learning and deep learning solutions? At PTTRNS.ai we develop new, innovative solutions for our customers’ challenges, to accelerate digital innovation. For example, we have worked on anomaly detection, product recommenders and visual search and find. In our standard stack you will find Keras, Tensorflow 2.0, PyTorch, Scikit.learn on your own Linux machine with handy GPU and of course the cloud services we need: AWS, Azure and Google (Cloud ML).
As an Artificial Intelligence Engineer at PTTRNS.ai you take responsibility for the technical quality and on-time delivery of the applications and AI systems. You translate the customer's business case into usable data sets, appropriate architectures or roadmap, statistical models and algorithms. Of course you are not alone. We work in small teams in which all required specialisms are represented: i.e. data engineering, cloud deployment, UX design, mobile and project management.
- The core business of the AI team at PTTRNS.ai is developing or improving machine and deep learning solutions. You will work on this on a daily basis;
- We use state-of-the-art technology. We carefully follow developments in the field of neural networks. We often use Machine Learning algorithms (e.g. XGBoost), but if the Regex or Elastic Search solves it, we use it;
- In addition to the solutions and applications that we develop for our customers, we also work on experiments, mini-demos and proof-of-concepts. Examples are GAN tests, hybrid neural network architectures (fixed / mobile, combining Word2Vec with visual information in a CNN), federated machine learning or a new version of Pix2Pix tests;
- As an experienced Artificial Intelligence Engineer you also provide coaching for less experienced people in the team and you follow up new papers for practical applicability.
Function: Artificial Intelligence Engineer
Experience: Junior, Medior, Senior
Education: University (Applied Science)