Machine Learning Engineer - Toronto or Antwerp (m/

Full time
Locationinternacional Calendar23/02/2021   Full time

TalentSeed is revolutionizing the job market since 2017, through a specialized recruitment and selection service supported by our innovative technological Talent Management platforms.

We are an entity registered with the Portuguese board of psychologists and our mission is to present solutions in the Human Resources field, resorting to technology as a foundation of the innovation that we seek to present to our partners.

Our young, fun, and dedicated team aims to add value to companies and candidates, striving for the excellence of our services!

 

TalentSeed is currently recruiting:

 

Machine Learning Engineer (Toronto or Antwerp) 

 

CHALLENGE

Our client is a data science company turning IOT sensor data into rich insights about people’s behavior and real-time context.

As an MLE, you will work closely with data scientists and mobile engineers to implement on-device data processing and machine learning pipelines. 

 Moreover, you will have the following responsibilities:

  • Create tools to improve the development of ML pipelines;
  • Work with GPS fixes and sensors; 
  • Optimize and deploy training and inference pipelines for predictions of low events and concepts as well as human behavior;
  • Collaborate with the mobile, full-stack, and data engineering teams to improve models and data flows and push them through the release process.

 

WE ARE LOOKING FOR

  • Master degree in Computer Science or a similar field with fluency in English (mandatory);
  • Understanding of machine learning concepts such as clustering, supervised vs. unsupervised learning;
  • Knowledge in signal processing, 
  • Experience in software engineering and deployment to production;
  • Fluency in Python;
  • Experience in processing sensor data from mobile devices;
  • Experience with Tensorflow; and mobile programming are considered a plus
  • Ability to critically interpret output quality based on quantitative analysis and tooling.


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