An opportunity to join one of the leading companies in the AI sector.  

They're recruiting software engineers with experience in machine learning. You'll you have worked in a production environment, implemented and deployed machine learning and/or data pipelines. 

The Role 

• You will work with big data (GPS fixes and sensors) from hundreds of thousands of users.
• You will optimize and deploy training and inference pipelines for predictions of low events/concepts (type of transports, home/work location) and human behaviour (commuting, sporting, shopping).
• You will create tools to improve development of machine learning pipelines.
• You will 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.
• Your 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.

Candidate Profile 

• You have a master's degree in computer science or a related field.
• You have experience in software engineering and deployment to production. 
• You have experience with Python and Java.
• You have implemented and deployed a variety of machine learning pipelines in a production environment.
• You have a deep understanding of machine learning concepts such as cross-validation, clustering, supervised vs unsupervised learning.
• You can use big data tools such as Spark for development.
• You can work independently and take matters into your own hands.
• You can critically interpret output quality based on quantitative analysis and tooling.