Our client a fastest growing mobile payments company with over 230 million users is currently looking for Data Engineers in Toronto, to help build data driven and AI technologies
*SPONSORSHIP PROVIDED TO USA CANDIDATES WILLING TO RELOCATE TO TORONTO*
Engineers with a passion to develop novel Machine Learning software systems for fraud detection, personalization and CTR prediction and deploy the systems to production, and test them to ensure all client's business needs are covered.
Team of data scientists, statisticians and machine learning engineers, you will create software that are used by millions of people.
You will perform ETL to build model features using petabyte scale datasets and develop high throughput and low latency systems to serve models in production touching lives of more than 300M customers everyday. You will collaborate with highly innovative engineering teams to put machine learning functionalities into production systems that we build in-house.
You are someone who oozes passion, ownership, and a love of building great things. The Product and Engineering teams will rely heavily on your build. You'll have a ton of trust and responsibility.
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
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