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Machine Learning Engineer
  • Python
  • Spark
  • Machine Learning
  • Big Data
  • ETL
  • Scala
  • PyTorch
Michael Page
Toronto, ON
169 days ago
  • Perform ETL with massive data from multiple applications and 300 M+ customers
  • Architect, design and evaluate novel approaches for handling high-volume real-time data streams in an inferencing environment
  • Own the development, training, optimizing, and deployment of machine learning systems
  • Develop measurement and feedback systems at web scale to improve the selection of features and/or algorithm design
Msust Haves
  • Strong software development skills (+3 years working experience), with proficiency in Python or Scala preferred
  • Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Big Data technologies such as Spark
  • Ability to explain and present analyses and machine learning concepts to a broad technical audience
  • Ability to initiate and drive projects to completion with minimal guidance
  • Knowledge in advanced data structures and can use them to solve problems
  • You have a Masters degree or equivalent in Computer Science, Engineering, Mathematics or related field
  • Working knowledge of PyTorch, Tensorflow or other similar frameworks is a plus
  • Creative, collaborative, & product focused
Mobile Payments
  • A collaborative, open work environment that fosters ownership, creativity, and urgency
  • Enrolment in the Group Health Benefits plan right from Day 1, no waiting period

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