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