> Markdown version of [/jobs/ext/4004803-data-scientist-ai-engineer-azure-microsoft-fabric](https://www.wearedevelopers.com/jobs/ext/4004803-data-scientist-ai-engineer-azure-microsoft-fabric). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist / AI Engineer - Azure & Microsoft Fabric - **Company:** Pauwels Consulting, LLC - **Location:** Charleroi, PA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Software as a Service, Continuous Integration, Data Systems, Python (Programming Language), Cloud Services, Search Technologies, Enterprise Search, Cloud Platform System, Indexer, Microsoft Fabric, Containerization, AI Platforms, Data Pipelines, Docker - **Published:** October 29, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pvbjn4l671 ## About the Role * 1+ years of experience in data science and AI development using Python. * 1+ years of experience with cloud-native data platforms including Azure AI Foundry, Azure AI Search, and Microsoft Fabric. * Experience with containerization and application hosting using Docker and Azure App Service. * You possess knowledge of semantic search indexing and fuzzy matching methodologies. * You have experience setting up CI/CD and monitoring within cloud environments. * You are proactive and solution-oriented with a focus on knowledge sharing. * You have an active knowledge of French or Dutch. Nice to Haves * Knowledge of English. ## Description * Design and develop the matching engine and its data pipelines for ingestion, indexing, and semantic search. * Implement fuzzy matching logic, scoring systems, and reranking algorithms to optimize result relevance. * Deploy and manage cloud environments including containerized applications and API exposures. * Establish CI/CD pipelines, monitoring frameworks, and security protocols for data solutions. * Validate engine performance through rigorous testing protocols and data quality assessments. * Document technical architectures and perform knowledge transfer to internal technical teams.