Junior Machine Learning Engineer

Description of Group / Project :

The machine learning engineer will be hired within the Severo Ochoa Center of Excellence grant.

Main Tasks and responsibilities :

The Machine Learning engineer will have the following responsibilities :

Contribute to the design and implementation of the computational infrastructure for AI and ML within ICN2.

Contribute to the design and implementation of algorithms to tackle research-oriented problems at ICN2.

To support for competitive computational resources for ICN2.

To review the methodological applications of different research groups.

To collaborate in the creation of ML / AI training content.

Requirements :

Education : Engineer or similar STEM career

Knowledge and Professional Experience :

The machine learning engineer should possess experience in Python programming, coupled with knowledge of machine learning and AI methods, including their deployment in popular Python libraries such as Scikit-Learn, TensorFlow, Pandas, and Keras.

English required.

Personal Competences :

Proven experience with interdisciplinary teams will be positively evaluated.

Summary of conditions :

Full time work (37,5h / week)

Contract Length : Temporary (until 31 / 12 / 2026)

Location : Bellaterra (Barcelona)

Salary will depend on qualifications and demonstrated experience.

Support to the relocation issues.

Life Insurance.

Estimated Incorporation date : as soon as possible

How to apply :

All applications must be made via the ICN2 website https : / / jobs.icn2.cat / job-openings / 682 / junior-machine-learning-engineer and include the following :

1. A cover letter.

2. A full CV including contact details.

3. 2 Reference letters or referee contacts.

Applications will be continuously reviewed. Shortlisted candidates will be invited for interview.

Equal opportunities :

ICN2 is an equal opportunity employer committed to diversity and inclusion of people with disabilities.

ICN2 is following the procedure for contract of people with disabilities according with article 59 of the Royal Decree 1 / 2015, of 30 of October.

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