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ML Engineer - Cloud (Toronto, CA) (M/F)

Data:12-9-2019  Local:Outros Locais - Estrangeiro

SeedsGroup is composed by 2 companies: TalentSeed and iTSeeds.


TalentSeed, a company awarded with Excellence in HR for Startups by the HR Magazine in 2017, is building Talent Management Solutions in areas like Assessment, Engagement, among other, available to all companies in the world

iTSeeds, a technological company, implementing technological solutions, outsourcing or Nearshore operations for clients all over the world


TalentSeed is currently recruiting:


Machine Learning Engineer - Cloud (Toronto, Canada) (M/F)



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

As a MLE, you will be integrated into a production environment, within a team with a passion for machine learning and data science. You’ll work in a fast-paced environment where you can integrate and optimize machine learning pipelines, and work closely with the data science team and data engineering team.


You will have the following responsibilities:

  • Design and implement methods for both supervised and unsupervised learning;
  • Working with GPS fixes and sensors; training algorithms using this big data to predict low events or concepts and human behaviour;
  • Improving the development of machine learning pipelines by creating tools;
  • And also improving current methods and models into a production environment, from a performance and architecture point of view.



  • Master degree in Computer Science or a similar field with fluency in English (mandatory);
  • Understanding of machine learning concepts such as cross-validation, clustering, supervised vs. unsupervised learning;
  • Academic or Work experience in software engineering;
  • Implementation and deployment of ML pipelines in a production environment;
  • Fluency in Python and Java;
  • Knowledge of big data engineering for development (e.g. Spark);
  • Ability to critically interpret output quality based on quantitative analysis and tooling.


  • Expertise in data engineering;
  • Experience with signal processing;
  • Experience with sensor data modelling from mobile devices or wearables;
  • Know-how of stream processing (Kafka);
  • Mobile development constraints and peculiarities learning.

Apply to this job following this link: https://talentseed.pt/emprego/2371/ml-engineer-cloud-toronto-ca-mf


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