The Hague
3 days ago

AI Engineer
EMW
The Hague
3 days ago
AI Engineer
AI Engineer required for a full-time on-site contract role in The Hague, Netherlands, supporting NATO. The role involves developing and maintaining end-to-end AI/ML pipelines, applying machine learning and data science techniques, and working with LLMs, RAG, and MLOps in secure environments. Candidates must hold an active NATO SECRET security clearance.
Core AIOn-siteContractEntry LevelMachine LearningData Science
AI Engineer
AI Engineer required for a full-time on-site contract role in The Hague, Netherlands, supporting NATO. The role involves developing and maintaining end-to-end AI/ML pipelines, applying machine learning and data science techniques, and working with LLMs, RAG, and MLOps in secure environments. Candidates must hold an active NATO SECRET security clearance.
Core AIOn-siteContractEntry LevelMachine Learning
Salary
Not specified
Core Qualifications
Technical (Must-have)
Machine LearningData ScienceAI/ML pipelinesPythonFastAPIPydanticLangChainLlamaIndexPydantic AIRAGEmbeddingsVector databasesLLMsGenerative AIMLOpsAIOpsCI/CDREST APIsDockerKubernetesHelmApache AirflowArgoSQLNoSQLTypeScriptNode.jsNext.jsETL/ELT
Soft Skills
CommunicationCollaborationReportingKnowledge sharing
Key Responsibilities
- Apply machine learning and data science techniques to new problems and datasets, including evaluating model outcomes, performance, and data quality
- Identify issues in machine learning systems, models, pipelines, datasets, and development activities, and implement practical improvements
- Design, develop, test, document, amend, refactor, and maintain moderately complex programs, scripts, and AI/ML components
- Apply agreed engineering standards, tools, and secure development practices to deliver reliable, maintainable, and well-engineered solutions
- Support AI/software lifecycle engineering by eliciting requirements, selecting suitable working practices, and deploying automation for development, testing, release, deployment, and monitoring
- Define AI modules for integration builds, produce build definitions, and validate completed modules against agreed functional, quality, security, and performance criteria
- Build, maintain, and improve data pipelines using data engineering standards and tools, including ETL/ELT processes
- Monitor progress, report status, communicate risks or blockers, and collaborate with colleagues through reviews and shared delivery ownership
- Support monitoring of emerging technologies, contribute to technology assessments, reports, roadmaps, and knowledge sharing
AI EngineerMachine LearningNATOContractOn-siteThe HagueSecurity ClearanceMLOpsLLMPython