Expert in AI/NLP/ML - Deadline 02/10/25

Description Of The Tasks

• Support the GAIA Programme team in the context of application architecture and system design;
• Define & maintain an architectural vision & goverview of the GAIA landscape and registry of design related artefacts;
• Analyse gen AI architecture for consistency, completeness, accuracy and reasonableness;
• Oversee, monitor and report on vendor and contractor technical implementation activities in the GAIA Programme;
• Establish quality control mechanisms and implement actions to maintain architectural consistency across the GAIA application landscape;
• Coordinate the architectural discussions with other Commission stakeholders in the GAIA Programme;
• Contribute with architectural advice to Commission projects that make use of the GAIA horizontal solutions;

LEVEL OF EDUCATION

Bachelor or Master Degree

Knowledge And Skills

• Very good knowledge of AI/ML technologies
• Ability to follow the fast pace of emerging technologies and solutions esp. in the genAI domain.
• Ability to establish high-level vision regarding the architectural landscape
• Strong analysis and problem solving skills
• Capability to write clear and structured technical documents
• Good communication skills with technical and non-technical audiences
• Ability to give business and technical presentations
• Ability to participate and lead technical meetings

Following specific expertise is mandatory for the performance of the tasks:

• Experience (at least 10 years) in Solution Architecture and System Design for large-scale IT projects, ideally in EU organisations;
• In-depth knowledge of Data Science and Machine Learning principles;
• Good knowledge of AI frameworks such as Haystack, Langchain, etc.;
• Expertise in software requirements engineering, with an ability to translate complex stakeholder requirements into solutions and detailed technical specifications;
• Strong proficiency in programming languages such as Python, along with experience in using development tools like GIT, GitLab, Jira, Confluence, etc.;
• Knowledgeable in standard web technologies like API driven architecture, Single Page Application, Backend-for-Frontend, etc.;
• Experience with database management systems (PostgreSQL, etc.) and search engines (Elastic Search, etc.);
• Good knowledge of quality procedures and their application in the software development life cycle;
• Good knowledge of information systems governance;
• Good knowledge of cloud technologies.

Certifications & Standards

• Certifications in Data Science and Machine Learning, especially related to AI/ML with Python.

Level: Senior (7 and 8 )

Delivery mode : Near Site (Brussels)

Deadline 02/10/25