Overview

Would you like to join a growing company that builds innovative HR software? Are you passionate about technology and excited about what AI has to offer in the HR field?

Our company is currently composed of 28 people, growing to 45 people in 2019 across different offices: Luxembourg, The Netherlands, Portugal and Belgium.

We have built a proprietary Artificial Intelligence technology to digitalise and automate the first steps of recruitment. With several companies using our HR technology in their recruitment process and with more big companies to start soon, skeeled is growing its market share with more to come!

Our young and dynamic Porto branch based in the technology centre of UPTEC is seeking a Data Scientist to work with our highly talented multidisciplinary development team to bring this project forward.

Responsibilities

Help the design and implementation of Natural Language Processing (NLP) and knowledge representation algorithms that enhance specific functions of skeeled HR software;
Provide technical guidance and expertise to enhance the existing recruitment ontology;
Develop metrics to validate the performance of the developed NLP algorithms and benchmark these algorithms;
Help the data science team in the design and implementation of other Machine Learning related tools;
Bring innovative ideas to the use of AI in specific recruitment steps and procedures through the use of cutting edge technologies

Company:

skeeled

Qualifications:

Requirements: Must Have

Significant work experience in applying ontology, text classification and representation, semantic text similarity, lexicon, and other related NLP methods and technologies to complex operational problems;
Proved experience in buildings Machine Learning (ML) products (from training and testing, to tuning, and delivering);
Proficiency in Python (mandatory) and R (optional);
Masters or Ph.D. in Machine Learning, NLP, computational linguistics, or related topics;

Outstanding analytical and critical thinking skills;
High degree of autonomy and goal-orientation;
Thorough, organised, responsible, self-disciplined and efficient personality;
Willingness to acquire new skills and propose new approaches

Masters’ degree required.
More than 2 years of experience in the field.

Requirements: Nice To Have

Experience with Neural Networks, RNN, as well as Tensorflow, Keras and PyTorch;
Knowledge of resource profiling and runtime optimization;
Online portfolio or personal project we can see;

Language requirements:

English level at least B2.

Specific requirements:

EU Residents or with a “EU Work Permit”.

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

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About skeeled s.à.r.l

e-recruitment platform dedicated to match potential candidates with the most suitable companies