AI Engineer

Il y a 5 jours

Brussels Brussels Region, BRU, Belgique ThoughtLabs Belgium Temps plein

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Nature of the tasks
- - Analyse user needs and evaluate the feasibility of AI support for identified use cases
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- Deploy and integrate AI models, modules, tools and platforms, including containerised inference runtimes
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- Design and implement data pipelines to prepare data for model consumption
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- Define and implement AI solution architectures, ensuring interoperability with existing systems
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- Develop, test and deliver proofs of concept, pilots and production AI solutions, and evaluate their outcomes
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- Monitor model performance and ensure reproducibility and traceability of model runs
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- Embed compliance, security and explainability considerations (EU AI Act, EU DPR) throughout the AI lifecycle
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- Industrialise AI solutions using CI/CD and containerisation techniques (Kubernetes, ArgoCD)
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- Produce model documentation, evaluation reports and knowledge-transfer material 2.9.2. Level of education 2.9.2.1.
Minimum Requirement
- Master's degree (EQF level 7) in Computer Science, Artificial Intelligence, Data Science or equivalent. 2.9.2.2.
Other skills and expertise
- Not applicable. 2.9.3. Professional experience 2.9.3.1.
Minimum Requirement
- As defined in section 1.1 Seniority Level for each seniority level, of which at least 5 years in AI/ML engineerin g 2.9.3.2.
Other skills and expertise
- Experience deploying AI solutions in an international/intergovernmental organisation or a central national administration 2.9.4. Specific expertise and technologies 2.9.4.1.
Minimum Requirement
- For the Advanced level: o 4 years of experience developing and deploying AI/ML solutions, including LLM-based or agentic approaches o 4 years of experience with containerised inference runtimes and agent-orchestration frameworks (e.g. MCP) o 4 years of experience building data pipelines for model training and inference o 2 years of experience with MLOps practices and CI/CD for AI models
- For the Senior level: o 6 years of experience developing and deploying AI/ML solutions, of which at least 2 years with LLM-based or agentic approaches o 5 years of experience deploying AI/ML models with containerised inference runtimes o 6 years of experience building data pipelines for model training and inference o 4 years of experience with MLOps practices and CI/CD for AI models o 3 years of experience as technical lead in the design of AI solution architectures 2.9.4.2.
Other skills and expertise
- Experience with open and sovereign AI solutions
- Experience conducting bias-fairness analyses and producing explainability artefacts
- Experience with the EU AI Act regulatory framework 2.9.5. Certificates and/or Standards 2.9.5.1.
Minimum Requirement
- Not applicable. 2.9.5.2.
Other skills and expertise
- Not applicable. 2.9.6. Skills 2.9.6.1.
Minimum Requirement
- Not applicable. 2.9.6.2.
Other skills and expertise
- Not applicable. 2.9.7. Languages 2.9.7.1.
Minimum Requirement
- English: level C1 of the Common European Framework of Reference for Languages (CEFR). 2.9.7.2.
Other skills and expertise
- Good knowledge of another official language of the European Union (profiles with at least a level B2 of the Common European Framework of Reference for Languages – CEFR).

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