Hybrid AI/NLP/ML Expert

at EUROPEAN DYNAMICS

• Job title: AI/NLP/ML Expert
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cassandra, HBase, MongoDB, NoSQL, Perl, Python, SQL, Unix
• Location requirements: Hybrid, Brussels, Belgium

About the role

• AI / NLP / ML Expert developing and maintaining applications in collaboration with a major client's IT team in Brussels. Role involves extensive experience in AI and IT project management.

Responsibilities

• Develop and maintain NLP, ML, and AI applications;
• Train and optimize machine learning and deep learning models on structured and unstructured data;
• Perform feature engineering and build optimized classifiers;
• Enhance machine translation quality through targeted studies, customer-driven improvements and systematic evaluation;
• Define data rules, controls, and governance in collaboration with IT and data stakeholders;
• Ensure data quality, integrity and reliability through validation and cleansing;
• Design and monitor automated anomaly detection systems;
• Apply advanced data mining techniques;
• Design and assess NLP/ML/AI IT architectures, including master and metadata management;
• Contribute to data management strategy, policies and derived IT requirements;
• Manage project risks, issues, changes, and decisions with proper documentation;
• Support business case development, project initiation and solution design through business process improvement.

Requirements

• Master’s degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT;
• At least 3 years of experience in analyzing, comparing and recommending AI models, architectures and technical solutions, considering performance, operational constraints and risk;
• At least 3 years of experience in developing interfaces with model serving endpoints and LLM APIs;
• At least 3 years of hands-on experience in evaluating and optimizing AI models, including hyperparameter tuning and resolving model output issues;
• At least 3 years of experience in machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised and reinforcement learning models (e.g. k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, AI frameworks);
• At least 3 years of experience in Python;
• At least 3 years of experience using AWS or Azure, including AI-related services such as ML pipelines, managed training, inference and data storage;
• At least 3 years of recent experience in software development projects (from 2016 onward);
• At least 3 years of recent experience in SQL, distributed/big-data SQL engine, and information extraction (from 2016 onward);
• At least 3 years of experience in Unix and Bash;
• At least 2 years of experience in data management, including collecting, preprocessing, cleaning and organizing large datasets using coding and non-coding tools;
• At least 2 years of experience with NoSQL databases (e.g. MongoDB, Cassandra, HBase);
• At least 1 year of recent experience in Agile environments (from 2021 onward);
• At least 1 year of experience with non-structured databases and data lakes;
• The following certifications would be considered as assets: AWS Certified Machine Learning, Microsoft Azure AI Engineer Associate, SAS Certified Professional AI, Machine Learning Certification and PM2-Agile certification;
• Experience in MT quality assurance and control, including MT evaluation procedures, testing methodologies, automatic metrics (e.g. BLEU and similar) and human evaluation of machine translation, would be an asset;
• Experience in deep learning, including perceptrons, feed-forward networks, backpropagation, convolutional neural networks (CNNs) and recurrent neural networks (RNNs), would be an asset;
• Experience with DevOps practices would be an asset;
• Experience with business-to-government (B2G) definitions and related IT systems would be an asset;
• Experience in Perl, Matlab and R would be an asset.
• Excellent command of the English language and good command of French would be an asset.

Benefits

• If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference **(19488/01/2026).**
• We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.