Expert in AI/NLP/ML - Hybrid - Brussels, Belgium

Expert in AI/NLP/ML

Hybrid, Brussels, Belgium

300-345 euro/day

1. CONTEXT/INTRODUCTION

European Commission agency which covers areas of substantial societal and political significance, and ensures the strategic implementation of EU flagship programmes including Erasmus+, the European Solidarity Corps, Creative Europe, the Marie Skłodowska-Curie Actions and the European Institute of Technology (EIT).

2.DESCRIPTION OF THE TASKS

Key tasks:

• Design and Development:

o Architect, design, and implement advanced machine learning models, including but not

limited to deep learning, reinforcement learning, and large language models (LLMs).

o Develop scalable AI solutions using state-of-the-art techniques and frameworks.

o Collaborate with data scientists to refine data preprocessing, feature engineering, and

model training pipelines.

• Deployment and Integration:

o Deploy machine learning models and AI solutions into production environments, ensuring

scalability, performance, and reliability.

o Integrate AI models with existing systems and workflows, providing seamless functionality

across platforms.

o Optimize models for performance, including latency, throughput, and accuracy,

considering both cloud and edge deployment scenarios.

• Research and Innovation:

o Stay up-to-date with the latest advancements in AI, ML, and LLM technologies, and apply

them to enhance our AI capabilities.

o Experiment with new algorithms, architectures, and techniques to push the boundaries of

AI within the organization.

o Contribute to research publications, patents, and open-source projects as appropriate.

• Collaboration and Communication:

o Work closely with cross-functional teams to understand business requirements and

translate them into technical solutions.

o Communicate complex AI concepts and technical details to non-technical stakeholders

effectively.

o Mentor junior engineers and provide guidance on best practices in AI and ML

development.

• Testing and Evaluation:

o Conduct rigorous testing and validation of AI models, including A/B testing, cross-

validation, and error analysis.

o Monitor model performance in production and iterate on models to improve accuracy and

robustness.

o Implement monitoring systems to detect model drift and ensure continued performance over time.

3.LEVEL OF EDUCATION

• Master/Bachelor’s Degree

4.KNOWLEDGE AND SKILLS

Following skills and knowledge are required for the performance of the above listed tasks:

• Experience:

o Proven experience in designing, implementing, and deploying advanced machine learning

models and AI systems.

o Strong experience with large language models (LLMs) and natural language processing

(NLP) techniques.

o Experience with cloud platforms (AWS, Azure).

• Technical Skills:

o Deep understanding of machine learning frameworks and libraries.

o Experience with data processing and ETL tools.

o Familiarity with MLOps practices and tools.

• Soft Skills:

o Strong problem-solving skills and the ability to think critically and creatively.

o Excellent communication skills, both written and verbal.

o Ability to work collaboratively in a team environment and independently with minimal

supervision.

Non-technical skills:

• Capability of integration in an international/multicultural environment, rapid self- starting capability and experience in working in team;
• Ability to work in multi-cultural environment, on multiple large projects;
• Excellent Team Player
• Ability to understand, speak and write English (B2)
• High degree of discretion and integrity is required