Expert in AI/NLP/ML, Brussels

Expert in AI/NLP/ML in Brussels (On site) for the European Commission

Job role: Expert in AI/NLP/ML

Languages: English (C1) MANDATORY

Location: Brussels (on site)

Rate: €/day

Requirements:

· Only EU27 nationals

· Master's Degree in a related field.

· years of experience in IT.

DESCRIPTION

Responsibilities

· Development and maintenance of AI solutions, including software applications integrating AI (NLP, Machine Learning, Generative AI).

· Design and implementation of IT architecture for AI solutions, selecting appropriate AI components, techniques, and models using modern AI and IT architecture practices.

· Presentation of AI solution blueprints to technical and business audiences.

· Moderation of technical and business discussions and collection of relevant feedback.

· Support the implementation of best practices for data, master data, metadata management, and modern MLOps.

· Training of custom machine learning and deep learning models (including transformer-based architectures) using structured and unstructured data.

· Independent development, testing, documentation, and integration of AI/ML components within larger service-oriented architectures.

Knowledge and Skills

· Excellent knowledge of Python and core AI/ML/NLP libraries and frameworks (pandas, OpenAI, spaCy, PyTorch, TensorFlow, Transformers, scikit-learn, NLTK).

· Strong experience with modern data management and data engineering techniques, including data pipelines, metadata and model versioning.

· Excellent knowledge of data management.

· Knowledge of query languages such as SQL, Hive, and Pig.

· Knowledge of information extraction techniques.

· Knowledge of NoSQL databases (MongoDB, Cassandra, HBase, etc.).

· Knowledge of data visualization tools , GGplot).

· Practical knowledge of modern software engineering and DevOps practices (Git workflows, CI/CD, Docker, Kubernetes).

· Knowledge of cloud computing platforms (AWS, Azure) for deployment, scaling, and security of AI solutions.

· Good knowledge of Linux.

· Good knowledge of Unix and Bash.

· Good knowledge of NLP systems lifecycle.

· Good knowledge of agile software development methodologies.

· Good knowledge of quality assurance and quality control for machine translation, including automatic metrics (e.g., BLEU) and human evaluation.

· Experience with data analytics over big datasets, unstructured databases, and data lakes.

Specific Expertise

· Proven experience with advanced AI/ML techniques in production environments, including:

• Large Language Models (LLMs)

• Generative AI architectures

• Retrieval-Augmented Generation (RAG)

• Agentic workflows (OpenAI, LangChain, CrewAI)

• Function calling and MCP

• Traditional machine learning algorithms

· Strong experience with relational and NoSQL database integration (SQL, Elasticsearch, MongoDB, Cassandra).

· Expertise in modern MLOps practices.

· Experience with ethical and legal implications of AI systems in enterprise or public sector contexts.

· Experience in corpus-based linguistics.

· Experience with alignment models and classification methods.

· Strong experience with cloud-based AI solution deployment and operations.

· Experience using enterprise and collaboration tools (MS Teams, IntelliJ, Jira, Enterprise Architect).

· Experience with project management methodologies such as Agile and PM².

Optional certifications:

· AWS Certified Machine Learning

· Microsoft Azure AI Engineer Associate

· SAS Certified Professional AI and Machine Learning Certification

Language:

· English (C1)

Studies required:

· Master's degree

Rate:

· €/day