Machine Learning Engineer

Website Pleez

Food tech company creating Smart Menus

See Job descritpion below

https://docs.google.com/document/d/14KsgfjLLklNKqBa7ek1F1NEyW82LibxUkid8LFP7X4o/edit

October 2021

Our Mission

How cool is it to go to a restaurant and have a menu that can give you recommendations and can help restaurants sell what is more profitable to them? That’s what we call the Smart Menu!

 

At the moment our Smart menu is present in restaurants all over 3 countries. Plus we are partnering with some of the leading food tech companies!

 

Our mission is to increase the average spend per served meal, both in dine in and delivery.


But that’s not just it. Pleez is posing to be the backbone of data for the big food tech companies like delivery platforms and POS companies.

 

About this Role

As a member of our core team you will be responsible for implementing Machine Learning algorithms that will be the backbone of the integrations with some of our partners.

Your Goals

  • Design a ML system to increase the average spend per order
  • Implement NLP to better understand menu compositions 
  • Implement Ranking systems to optimize menu organization
  • Work side by side with f&b consultants to learn consumer behaviour
  • Be able to go from prototype to scale

Our Stack

 

Infrastructure Coding  Frameworks & Libraries
Must  Github <> AWS Python <> SQL Scikit-learn
Nice to Make the most of AWS products MySql Pytorch or any other deep learning libraries

The ideal Candidate


    • Experience as a software developer is a plus.

    • Experience with NLP and ranking systems is a strong plus

    • Deep knowledge of P&S and optimization algorithms.
  • Driven by goals and not tasks.

  • Team player…you can’t build big things on your own

  • Curious to be always learning about new technologies.

  • Good english understanding, both spoken and written


What you’ll get


  • A cool office in Lisbon or Dubai
  • Health insurance
  • Your personal monitor
  • Competitive salary and stock options
  • 23 days holidays 
  • 3 online courses/year
  • 1 conferences/year

 

 


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To apply for this job email your details to vasco@pleez.pt