Expert in AI/NLP/ML
At a glance
Mid-level AI Research role at EUROPEAN DYNAMICS. Brussels · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Gather business needs through stakeholder discussions, then turn archiving requirements into technical specifications
- Design secure, scalable AI and cloud architectures, and build, test and launch LLM-based services
- Create prototypes and production services with Python and Jupyter, using AWS services and LLM orchestration tools
- Connect new solutions to existing data and archiving systems, then monitor and improve them after launch
- Document the technical work, share knowledge with teammates and coordinate with business, infrastructure and security groups
What you bring
- A master's degree in IT or a related discipline, plus at least thirteen years of relevant IT experience
- At least three years working with LLM fine-tuning, prompting, evaluation and deployment
- At least two years using LangChain or a comparable orchestration framework, vector databases, Python and Jupyter
- At least two years applying AWS services to AI, data or cloud-native development
Who this fits
This Brussels-based role suits an experienced AI/ML practitioner who can work with business stakeholders and technical teams. You will be based in Brussels and work from company premises or at the customer site, including close collaboration with the client’s IT team on-site. English fluency is required.
From the employer
We currently have a vacancy for an Expert in AI/NLP/ML fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on-site at the customer's premises. In the context of the first assignment, the successful candidate will be integrated into the Development team of the company that will closely cooperate with a major client’s IT team on-site.
Tasks:
- Engaging with Business stakeholders, organising workshops and meetings to gather requirements;
- Analysing needs in the archiving domain and translating them into robust technical specifications;
- Designing and proposing AI- and cloud-based architectures that are secure, scalable, and costeffective;
- Developing, testing, and deploying solutions leveraging Large Language Models (LLMs), vector databases, and orchestration frameworks (e.g., LangChain);
- Building prototypes, Proofs of Concept, and production-ready services using Python and Jupyter Notebooks;
- Leveraging AWS Cloud Services (e.g., S3, Lambda, SageMaker, Bedrock, API Gateway, ECS/EKS, CloudFormation/Terraform);
- Preparing and maintaining technical documentation, ensuring knowledge transfer within the team;
- Integrating solutions into existing data and archiving systems;
- Monitoring, optimising, and supporting deployed solutions over time;
- Collaborating closely with Business, IT Infrastructure, and Security teams to ensure long-term sustainability.
Requirements
- Master’s degree in IT or a relevant discipline, combined with a minimum of 13 years of relevant working experience in IT;
- At least 3 years of experience in LLMs: fine-tuning, prompting strategies, evaluation, and deployment;
- At least 2 years of experience in LangChain or equivalent frameworks for LLM orchestration;
- At least 2 years of experience in Vector databases;
- At least 2 years of experience in Python, with practical use of Jupyter Notebooks;
- At least 2 years of experience in AWS services for AI, data, and cloud-native development;
- At least 1 year of experience in Machine Learning Operations, including CI/CD pipelines and monitoring of AI solutions;
- At least 1 year of experience in data engineering and archiving best practices;
- Good knowledge of Docker, Kubernetes and security best practices in AI and cloud-based deployments would be an advantage;
- Knowledge of DevOps/Infrastructure-as-Code tools beyond AWS (Terraform, Ansible) and data governance frameworks and compliance standards (e.g., GDPR) would be an advantage;
- AWS Solutions Architect, AWS Machine Learning, AWS DevOps Engineer, TensorFlow Developer or equivalent AI/ML credentials, Kubernetes Administrator (CKA), TOGAF or equivalent enterprise architecture framework certifications would be an asset;
- Excellent command of the English language.
Benefits
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (19007/10/2026).
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.
You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.
EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.