Machine Learning Skywalker 

~ 35.000€ to 60.000€ annual gross salary


Can you use the force to give machines the capability to learn? Are you brave enough to face the dark side of tricky algorithms? Well, then these are the droids you're looking for!

The Millennium Falcon:


You have the opportunity to join an interstellar company that develops awesome logistics software. 

Be prepared to become part of a growing team of engineers with an intergalactic mindset, ready to help bring data together, currently focused on the Freight Forwarding Market.

This is a great opportunity for a Machine Learning Engineer to work in a fast-paced environment, with R2D2 and other researchers who are experts in NLP/computer vision.

Your mission:

-  to get machine learning fully operational, but this time it’s not a trap!
- with your mouse sabre apply algorithms in practice by training existing models and improving all aspects of the data extraction process;
- responsible for the quality and ongoing evaluation of the data sets on existing and new Machine Learning models in pre-launch and in production;
- working closely with the engineering and product teams to successfully integrate models into our product;
- work end-to-end on our data extraction from data to production.

Your skills:

- you have a BSc. in Computer Science, Statistics, Mathematics, or a related field;
- you have at least 2y of professional work experience;
- you have strong programming skills in Python or C++;
- you have knowledgeable  building statistical or machine learning models;
- you are comfortable with Natural Language Processing or Computer Vision (big plus)
… and you are not a relative of Jar Jar Binks!

May the Force be with you! Send us your resume and join the coding alliance!

In order to continue the process, don't forget to send us the following authorization, along with your CV!
I authorize the processing of my personal data by 7 Lives, Lda. in accordance with the law in force, within the scope of its activities, for the purposes of Recruitment & Selection and activities related to human resources.  In accordance with the law, I have been informed that I am guaranteed the right to access, rectify and delete my personal data processed within the scope of this database. 
If you wish to access, rectify or delete your personal data, you must contact 7 Lives at the following email address: 

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Beatriz Costa
Founder & Head of Sales
+351 917119881

Chandni Manilal
Founder & Head of Human Resources
+351 912331584

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