Machine Learning Engineer

We are looking for a Machine Learning Engineer in Antwerp, Belgium to build our internal and external user-facing dashboards, mobile apps, and tools. As Machine Learning Engineer, you have worked in a production environment, implemented and deployed machine learning and/or data pipelines.  English-speaking candidates are welcome to apply.

• Work on state-of-the-art methods for both supervised and unsupervised learning, including the latest deep learning algorithms;
  
• Work with big data (GPS fixes and sensors) from hundreds of thousands of users;
  
• Optimize and deploy training and inference pipelines for predictions of low events/concepts (type of transports, home/work location) and human behavior (commuting, sporting, shopping);
  
• Create tools to improve development of machine learning pipelines;
  
• Help the team to improve upon current methods and models, both from a performance and architecture point of view. With a practical mindset you will bring these models into a production environment;
  
• Software development experience will allow you to closely collaborate with our Data Engineering team to improve our models and data flows and push them through our release process;
  

• Master degree;
  
• Experience in software engineering and deployment to production;
  
• Experience with Python and Java;
  
• Implemented and deployed a variety of machine learning pipelines in a production environment;
  
• Deep understanding of machine learning concepts such as cross-validation, clustering, supervised vs unsupervised learning;
  
• Use big data tools such as Spark for development;
  

• Experience in processing of sensor data from mobile devices or wearables;
  
• Data engineering expertise;
  
• Knowledge of stream processing (Kafka);
  
• Knowledge of mobile development constraints and peculiarities;
  

• Challenging position at the market leader, working on top products;
  
• Attractive salary package;
  
• Relocation and visa support;
  

Please send your CV and motivation to [email protected].