Are you a developing octopus? Do you have experience solving problems using machine learning technology? But do you also like to develop frontend and backend applications?
Hi, nice to meet you Glad we caught your attention.
At PropheSea, we excel at creating value by developing custom predictive software. Our solutions help optimize and automate business processes by using state-of-the-art machine learning technology, or by solving physics-based equations. We guide our clients from proof of concept to production and are not satisfied until our software solution delivers significant value when used in production.
To execute our growing number of projects and accelerate our internal product development, we are looking for a Full Stack Data Scientist (freelance). In this role you will be responsible for the development of our internal product on weather and AI and (depending on the agenda) you will be involved in the execution of machine learning projects. You have a key role at PropheSea. As such, we are looking for an individual who meets the following:
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
* Bring AI-models into production, including data base modelling, network setup, back-end and front-end development
* Collect and analyze raw data: assess quality and structure for downstream processing
* Setup AI Agentic frameworks
* Collaborate with the team to design accurate and scalable prediction algorithms
Qualifications
* You have knowledge and experience in the various aspects of running Machine Learning projects (putting projects into production, exploration, model training)
* You have knowledge of back-end development and can also handle setting up a front-end
* Technologies (libraries) that are relevant include:, FastAPI, PyTorch, Dask, Xarray, Scikit-Learn, OR-Tools, LangChain, LLM, ..
* Technologies (methodologies) that are relevant include: Transfer Learning, Transformers, Constraint Optimization, Computer Vision, Clustering, ..
Soft skills
* You have a
can-do
mentality and love making a difference
* Understanding of physics-based predictive modeling is a plus
* You have high ethical standards
* You are able to work independently but are also a true team player
* Affinity with the maritime (logistics, civil engineering) and (renewable) energy sectors is considered a great advantage
* You have excellent communication skills