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

AMS Accelerate IT
  • Brussels
  • Post Date: October 6, 2024
    • 12719
  • Applications 0
  • Views 15
Job Overview

Expert in AI/NLP/MLRemote, Brussels 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 notlimited 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, andmodel training pipelines.• Deployment and Integration:o Deploy machine learning models and AI solutions into production environments, ensuringscalability, performance, and reliability.o Integrate AI models with existing systems and workflows, providing seamless functionalityacross 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 applythem to enhance our AI capabilities.o Experiment with new algorithms, architectures, and techniques to push the boundaries ofAI 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 andtranslate them into technical solutions.o Communicate complex AI concepts and technical details to non-technical stakeholderseffectively.o Mentor junior engineers and provide guidance on best practices in AI and MLdevelopment.• 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 androbustness.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 learningmodels 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 minimalsupervision.
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 PlayerAbility to understand, speak and write English (B2)High degree of discretion and integrity is required

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