Expert in AI/NLP/ML

EUROPEAN DYNAMICS Group; Brussel Hoofdstad; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

EUROPEAN DYNAMICS is seeking an Expert in AI/NLP/ML fluent in English to join Brussels-based operations. The role is on-site at company premises or at a client's site, collaborating with a major client's IT team.

You will design and implement architectures leveraging LLMs, LangChain, vector databases, and AWS services, and work with stakeholders to gather requirements, develop prototypes, and maintain production systems with strong security and governance.

Qualifications

• Master's degree in IT or a relevant discipline with significant IT experience.

Responsabilités

• Engage with business stakeholders, organise workshops to gather requirements.
• Analyse archiving needs and translate to technical specs.
• Design AI- and cloud-based architectures that are secure and scalable.
• Develop, test, and deploy solutions using LLMs, vector databases, and orchestration frameworks.
• Build prototypes and production-ready services using Python and Jupyter Notebooks.
• Leverage AWS Cloud Services (S3, Lambda, SageMaker, Bedrock, API Gateway, ECS/EKS, CloudFormation/Terraform).
• Prepare technical documentation and ensure knowledge transfer within the team.
• Integrate solutions into existing data and archiving systems.
• Monitor, optimise, and support deployed solutions over time.
• Collaborate with Business, IT Infrastructure, and Security teams for long-term sustainability.

Connaissances

Python

LLMs

LangChain

Vector databases

Jupyter Notebooks

AWS

MLOps/CI-CD

Data engineering

Docker/Kubernetes

IaC (Terraform/Ansible)

GDPR knowledge

English (excellent)

Formation

Master's degree in IT or related discipline

Outils

SageMaker

Bedrock

S3

Terraform

Ansible

Docker

Kubernetes

Description du poste

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.

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.

EUROPEAN DYNAMICS 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-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.