Do you like working with large datasets and playing around with the latest machine learning techniques and algorithms? Then read on! Are you a full stack software engineer with interest for A.I. & machine learning and data science in general? Then we are looking for you!
Together with our dedicated Artificial Intelligence team in Eindhoven, you will build tools, API’s, services and innovations that will change the way people work in our industry.
You will be creating, evaluating, and implementing machine learning and statistical models and techniques. Using platforms like TensorFlow, Keras and diverse range Python libraries you will be one of the go-to persons for any kind of machine learning related problems. This might start with a simple notebook, but soon you will be directly implementing it inside of an existing codebase or application. Of course, you will communicate your findings with stakeholders, either within the company or externally, and advise them on possible next steps.
You have the autonomy and our confidence to take actions that you find suitable to take our projects to the next level. We will of course support you in this through frequent (job) coaching and room for development and growth. You can also count on the enthusiasm of your fellow team members.
Are you looking for a challenge and do you have the skills to strengthen our team? Then we are looking for you!
Understanding, implementing and maintaining data science models (like time series models.
Experience with Natural Language Processing techniques (i.e. BERT and the likes). Experience with topic modelling is an advantage.
Experience with SQL- and NO-SQL database languages (e.g. Snowflake) or other database related query languages
Some experience with cloud platforms (like AWS, Google Cloud or Azure)
Some experience with neural networks is a nice to have
Some experience with data visualization is an advantage
You have an affinity with both data science and machine learning
Education: HBO, WO
Build your own career path, supported by coaches and time to gain new experiences.
Hybrid way of working. You work together with the team on location for one or two days and you can fill in the rest yourself.
Be part of a fast-growing company with a healthy dose of innovation, dedication and fun.