Package Description
* Competitive Salary
* Corporate Benefits Package
* Chance to make a positive difference in a company passionate about diversity and inclusion.
Further information available from the Serco Europe Recruitment Team
Job Introduction
Serco is the preferred partner for European Institutions and International Organisations, offering ICT services and Contact Centre management across Europe. Our expertise extends from Information System support to consultancy under the government framework, supporting key entities such as the European Commission and Executive Agencies. As a leader in Service Integration and Management, we ensure seamless delivery of services across various platforms, embodying our commitment to excellence in every aspect of our work.
We are hiring a AI/NLP/ML Specialist for the EU Commission in Brussels and various locations around Europe.
Key Responsibilities
* Development and maintenance of AI solutions, defined as software applications that
integrate AI (Natural Language Processing, Machine Learning, Generative AI).
- Design and implement of IT architecture for AI solutions under expert understanding
of most appropriate AI components, techniques and models, applying modern AI
approaches, as well as modern IT architecture practices.
- Present AI solutions blueprints to technical and business audiences. Moderate
discussions and collect relevant technical and business feedback.
- Support implementation of best practices for data, master- and metadata
management and modern MLOps.
- Training of custom machine learning and deep learning models (including
transformer-based architectures) based on structured and unstructured data.
Skills
* Excellent knowledge of Python and its core AI/ML/NLP libraries and frameworks
(e.g., pandas, OpenAI, spaCy, PyTorch, TensorFlow, Transformers, scikit-learn, NLTK).
- Proven experience with advanced AI/ML techniques including large language
models, generative AI architectures, RAG, agentic workflows (OpenAI, LangChain,
CrewAI), function calling, MCP, and traditional machine learning algorithms in
production environments.
- Strong experience with modern data management and engineering techniques,
including data pipelines, metadata/model versioning, and database integration
(relational SQL and NoSQL solutions like Elasticsearch, MongoDB, Cassandra).
- Strong experience with cloud computing platforms (AWS, Azure) for deploying,
scaling, and securing AI solutions.
- Practical knowledge of modern software engineering and DevOps practices including
Git workflows, CI/CD pipelines, containerization (Docker, Kubernetes), and agile
methodologies.
- Demonstrated ability to independently develop, test, document, and integrate
AI/ML components as part of larger service-oriented architectures.
- Experience with ethical/legal implications of AI systems in enterprise or public sector environments is highly desirable.
Qualifications:
* Bachelor's Degree or higher
Tools and methodologies used in the unit
* MS Teams, IntelliJ, JIRA, Enterprise Architect, etc.;
* Agile, ;
* Domain Driven Architecture, Test Driven Development, Continuous integration.