Machine learning engineering puts a machine learning model into production. It builds on the work done by data scientists and can include:
In other words, machine learning engineering builds models into products that can be confidently rolled out to users.
Build on the work done by data scientists and put a machine learning model into production:
Add a product recommendation component to an online toy store and connect it to the UI and the product and review database.
125 hours, $50/hour
Integrate a predictive model for soybean yield based on soil properties as measured by a EM38 sensor, weather patterns, crop rotation and other characteristics.
91 hours, $65/hour
Detect out-of-tolerance and other defects in machined parts using image recognition.
172 hours, $110/hour