Digital platform for the selection of professional profiles, especially aimed at people with vulnerabilities, which differs from other portals in the fact that it is able to make an intelligent matching of skills between job offers and candidates, and does not discriminate based on learned patterns.

This is a paradigm shift since, instead of working like other recruitment platforms that only take into account the candidate’s training and work experience as reflected in a CV, IntermediaJOB also values the rest of the learning that the candidate has acquired throughout his life, both in the training and professional and personal fields. This makes the match between the applicant and the company much more reliable than with other portals.

This tool is only possible thanks to innovation, which is why it is awaiting the incorporation of machine learning, a technology that would improve the reliability of the skills match, as well as big data to take advantage of successful experiences, or the use of bots to make technology more accessible to people.

What has already been implemented are the algorithms used by IntermediaJOB. The platform excludes all those better-positioned candidates who have more knowledge than necessary in a workplace, as well as those that value people of one gender more than another, for the simple fact that they follow learned patterns.

Beyond being just a platform where job offers can be posted, it also allows students to find their university internships.