For out client EC we are looking for Expert in AI /NLP/ ML
1. DESCRIPTION OF THE TASKS
FThe tasks performed by external service provider will cover the whole development cycle of AI and data
architectures and solutions from end-to-end, including:
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, crossvalidation, 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
2. KNOWLEDGE AND SKILLS
• 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.
3. Specific Expertise
4. Certification and Standards
N/A
5. Service Delivery
• The services shall be performed remotely in Near-site location allowing to reach the Commission
premises in Brussels within 2 hours.
• Laptop will be provided by the Commission.
• The external service provider may be requested to participate in the meetings with the Commission’s
services in Brussels (and exceptionally in other locations).