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The Hague
3 days ago
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AI Engineer

EMW

The Hague
3 days ago
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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.

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Core AIOn-siteContractEntry LevelMachine Learning

Salary

Not specified

Work Location

The Hague, South Holland, Netherlands, NL

Work Model

Full Time On-Site: Yes, Time On-Site: 100%

Employment Type

Contract

Experience Level

Not Applicable

Contract Length

2 months

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
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