CDT-AD5-2024-01 Natural Language Processing Specialist

1. SELECTION CRITERIA:

To be eligible to take part in this selection procedure, the applicant must, on the closing date for online applications meet the following requirements:

(1)    ELIGIBILITY CRITERIA:

§  be a national of one of the Member States of the European Union;

§  have a level of education which corresponds to completed university studies of at least three years attested by a diploma[1];

§  language skills: thorough knowledge of one of the official languages of the European Union (at least Level C1), and a satisfactory knowledge of another official language of the Union, to the level necessary for carrying out the required functions (at least level B2)^[2].

(2)    SPECIFIC COMPETENCIES AND SKILLS

a)     Essential Technical Competences:

·       Proven professional experience in computer science positions with a focus on data science and machine learning projects;

·       Good knowledge of neural networks and machine learning techniques and tools, including language models, architectures, metrics, libraries and platforms;

·       Proficient use of Python, or similar programming language, and ability to implement modular and maintainable NLP pipelines and applications;

·       Knowledge of Unix systems (e.g., Ubuntu).

·       Experience with version control systems (e.g., Git);

b)     Desirable Competences:

·       A Master degree in the field of computational linguistics, artificial intelligence, data science, data mining, or statistical data modelling or related areas;

·       Experience with machine translation implementations and toolkits;

·       Experience with machine learning frameworks and libraries (e.g., Torch);

·       Experience with natural language processing techniques and toolkits;

·       Knowledge or experience with MLOps, CI/CD pipelines and containerisation (e.g., Docker);

·       Knowledge or experience with databases and query languages (e.g., SQL);

·       Knowledge or experience with REST APIs and microservice architectures;

·       Knowledge or experience with standard processes for data mining (e.g. CRISP-DM);

·       Certifications or training certificates in the field of artificial intelligence and machine learning;

·       Scientific publications in the domain of artificial intelligence or NLP.

c)     Essential Non-Technical Competences:

·       Written and oral communication: good drafting and summarising skills; ability to communicate well at all levels (internal and external) and in a multilingual environment.

·       Interpersonal skills: ability to work individually and collectively in a team.

·       Sense of responsibility: discretion, confidentiality, precision, efficiency, availability and punctuality.

·       Organisational skills: ability to manage various tasks and to set priorities; methodical approach; ability to take initiative; versatility.

·       Adaptability: ability to help others and to work well under pressure; ability to upskill and adapt to developments in the IT environment.

·       For operational reasons, a very good command of English is a must (at least level C1), as well as a good knowledge of French (at least level B2) will be considered an advantage ^[3].

These skills will be assessed during the written test and the interview (see point B(2)(i) and (ii) below).