Specialist – Data Science & AI

• Design and develop machine learning models and other components based on artificial intelligence techniques;
• Conduct research in the area of artificial intelligence and data science;
• Develop and maintain project-related technical documentation, including design and deployment documentation, in cooperation with other artificial intelligence specialists;
• Elaborate, advise on and put forward different options for solutions/improvements in the area of artificial intelligence; proactively collaborate in the definition and implementation of improvements to the processes and tools used by the team;
• Perform any other duties in the area of competence as assigned by line management.

REQUIREMENTS - ELIGIBILITY AND SELECTION CRITERIA

REQUIREMENTS - ELIGIBILITY CRITERIA

• Be a national of one of the Member States of the European Union and enjoy full rights as a citizen;
• Have fulfilled any obligations imposed by the applicable laws on military service;
• Produce appropriate character references as to his or her suitability for the performance of the duties;
• Be physically fit to perform the duties pertaining to the post as further specified in Article 13 of the Conditions of Employment of Other Servants of the European Union (CEOS);
• Produce evidence of a thorough knowledge of one of the languages of the Union and a satisfactory knowledge of another language of the Union to the extent necessary for the performance of the duties.

• A level of education which corresponds to completed university studies of at least three years attested by a diploma;

• Professional training of an equivalent level in a relevant area (e.g., Police Officer’s School) and after having completed the training, at least the number of years of relevant professional experience as indicated below:
  
  

REQUIREMENTS - SELECTION CRITERIA
a. Professional experience:

• Experience in software development projects;
• Experience with development of machine learning models in Python and using frameworks such as Pytorch, Tensorflow or Keras;
• Experience with development of machine learning solutions for application of natural language processing, image/video/audio analysis and / or time series analysis.

• Experience working in multiple-developer based projects, following Scrum methodology;
• Experience using respective tools for source code control, continuous integration and automated deployment, such as TFS

• Knowledge of machine learning concepts and techniques;
• Knowledge of developing machine learning models in Python and using frameworks such as Pytorch, Tensorflow or Keras;
• Knowledge of developing machine learning models for natural language processing, image/video/audio analysis and/or time series analysis;
• Knowledge of how to design, implement and rollout distributed systems based on machine learning models.

• Very good communication skills in English, both orally and in writing.
• Ability to draft clear and concise documents on complex matters for various audiences.

• Keen eye for detail with the ability to maintain standards of accuracy under pressure of tight deadlines.
• Excellent analytical and critical thinking skills.
• Competent user of Microsoft Office applications (MS Word, Excel, PowerPoint and Outlook) and the internet. 

• High degree of commitment and flexibility.
• High level of customer and service-orientation.

• Good administrative and organisational skills.

Resilience:

• Very good interpersonal skills, including the ability to effectively liaise with other departments, groups and teams as well as with external partners.
• Ability to remain effective under a heavy workload and demonstrate resistance to stress. 

• Ability to work effectively in an international and multi-cultural environment.

d. Additional conditions: