Machine Learning Engineer
Sift- Location
- Remote
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Sift. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
As a Senior Machine Learning Engineer at Sift, you will build end-to-end pipelines for large-scale machine learning models, focusing on extracting signals, training custom models per merchant, and serving predictions at production scale with low latency. You will work on an automated machine learning ecosystem that dynamically recalibrates models based on streaming global telemetry data.
Skills and focus areas
- machine learning
- distributed systems
- model development
- feature engineering
- mlops
- ci/cd
- system optimization
- java
- scala
- python
- ensemble methods
- deep learning
Summary written by Ramai from the original posting. Full details and requirements are on Sift’s careers page.
[ More at Sift ]
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