YOUR MISSION

DiGEiZ AI bring real-time mall Analytics. The software is
autonomous in understanding and reporting visitor flow information.
For example, the software is able to accurately count customers
passing by, entering and leaving the stores. it is also able to analyze
group behaviour in shopping malls by using our GDPR-compliant
re-identification solution. This let our customers correlate the rent
they charge with visitor flows. As we are experiencing un-precedent
growth in malls, the data we collect become significant and we are
building a team to handle them.
As part of the R&D team, you will help building, improving and
scaling the deep-learning-based pipelines used for our
re-identification solution. You need to have a solid background in
python development and in using its data science libraries such as
Pandas. You also need to be comfortable with basic concepts in
machine learning such as supervised and unsupervised learning.

YOUR RESPONSIBILITIES

● Improve the performance of our re-identification algorithm.
● Intervene at each step of the re-identification pipeline (data
collection, training and testing the neural network,
postprocessing the results, critical performance
assessment).
● Help improve our image annotation and visualization tool.

● Masters in machine learning with exposure to deep learning.
● Strong experience Python and its data science libraries.
● Experience in developing basic web applications with Flask.
● Experience with DL libraries (Pytorch, Tensorflow…) is a
bonus.