Participate in the entire application lifecycle, focusing on testing, coding and debugging
Write clean code and tests to develop functional web applications
Troubleshoot and debug applications
Perform API tests to optimize performance
Use cutting-edge technologies to develop our cognitive services using tensorflow, scikit learn Python
Collaborate with Front-end developers to integrate user-facing elements with server side logic
Gather and address technical and design requirements
Provide training and support to internal teams
Build reusable code and libraries for future use
Liaise with developers, designers and system administrators to identify new features
Our Internet-of-Crops platform is the leading industrial data and IoT analytics platform for post-harvest quality monitoring. We use data science and sensors to monitor and predict product quality and safety for grains, like malting barley, wheat, and other commodities.
With our predictive capabilities, we help growers and buyers act months in advance to ensure key quality traits are maintained while in grain bags, silos, grain elevators, on rail cars, processing facilities, etc.
For beer production, these key quality metrics include: germination rate, moisture content, dry matter loss, risk of pest / fungi outbreaks, among others.
We have a suite of tools to guide teams at each level on what action should be taken for optimal results. As the commodity moves from storage to transport to AB InBev's processing facility, we can continue safeguarding the barley, checking its odor upon delivery for mold, as well as monitor pest remediation treatments which may impact its quality.