- Building machine learning models that power Upfeat's intelligence
- Supporting and improving MLOps platform
- Helping people make well-informed decisions
- Receiving mentorship and infinite opportunities to learn and grow
- Writing well-tested code
- 2 years of experience as ML engineer, Data scientist or similar position
- Bachelor's degree in Science, Engineering or other similar major
- Strong coding skills in general-purpose programming languages e.g. Python, C/C++, Java, Javascript
- Experience with distributed data processing tools like Hive, Spark, Airflow
- Experience with popular ML frameworks like Tensorflow or Pytorch
- Experience ML workflow on cloud service e.g. Vertex AI on GCP
- Solid knowledge in Neural network, Mathematics, and Statistics.
- Industry experience building end-to-end Machine Learning Infrastructure a big plus
Company
Upfeat Media Inc.
Canada
Location
Remote Position
(From Everywhere/No Office Location)
Job type
Full-Time
Python Job Details
Position: Machine Learning Engineer
Location: Remote within Canada
Team: R&D
Upfeat is a content technology company that focuses on e-commerce content that ranges from online shopping guides to coupons, deals, and rewards. With software and services built by the dev team, the world's biggest online newspaper & magazine companies open revenue opportunities in the e-commerce space. As one of Canada's fastest-growing software companies for the past 3 years, we are looking for passionate and dedicated machine learning engineers to join the R&D team and help to build the intelligent brain for all of our products.
As a member of the team, you would be working in a cloud-based microservice ecosystem. Being a technology-focused company, led by a former software developer, we are looking for someone who loves learning and experimenting with new technology. We are also looking for someone who loves pushing themselves to achieve bigger and better things. We are a small company trying to do big things and every person counts.
You’ll be working on things like:
Qualification:
Job Type: Full-time
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