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Kapernikov innovates together with its customers to get the most out of their data. Since our establishment in 2011, we have steadily grown to a versatile team of about 30 enthusiastic people.
Our customers are mainly companies in public infrastructure, industry and machine building. We build data-intensive full-stack applications and ai-driven machine vision applications to make industrial jobs safer, to deliver better production quality and to use assets optimally during their lifetime.
We approach each challenge starting from our customer’s goals and select the most appropriate technology for each project. When an off-the-shelf solution cannot be found, we develop customized solutions. We love to work in teams of both Kapernikov and customer colleagues, so we can benefit from the cross-pollination of our different backgrounds and experiences.
Kapernikov is managed as a transparent, flexible organization where everyone has a say. Work-life balance is not a mere buzzword but our way of life.
Type Vacancy
Master Biomedical Engineering
Sector IT
Location Brussels
You bring us software engineering experience
A MSc in engineering, informatics, machine vision or artificial intelligence or a similar background through experience. Even better: you can convince us with your code on GitHub or a relevant previous experience.
You know your database stuff. SQL has few secrets for you: nulls, datatypes and indexes ring more than one bell. And you can surprise us with a lot more of that database‑gobbledygook.
You are familiar with work/dataflow engines, e.g. Airflow, Prefect, Dagster or Talend. You appreciate the advantages of code and versioning over more GUI oriented approaches.
You have experience with container‑based development and deployment (like Docker, K8s, Openshift).
A thorough understanding of both classical machine learning and deep learning.
Hands‑on experience with a programming language (e.g. Python, C++, C#, Matlab or R).
You know how to deal with engineers, business users and managers alike.
You can express yourself in English and at least Dutch or French.