MLOps Solution Architect

MLOps Solution Architect Join us as a MLOps Solution Architect (Freelance) to join our client’s Digital & Analytics team for a 12‑month project in Antwerp. This is your opportunity to architect the backbone of AI innovation in one of Europe’s most dynamic operational environments. Our client is on a mission to build a robust, future‑proof MLOps platform that accelerates AI solutions from concept to production—keeping them sustainable, scalable, and impactful. As MLOps Solution Architect , you will be the architect and guardian of this platform, ensuring that AI‑driven decision‑making becomes a core driver of operational excellence. What You’ll Be Doing Design, build, and manage the end‑to‑end MLOps landscape supporting production AI solutions, including advanced operational AI applications. Standardize and automate the full machine‑learning lifecycle: development, validation, deployment, monitoring, and lifecycle management. Establish robust CI/CD pipelines for ML, manage model versioning, data flows, and feature pipelines. Ensure reliability, scalability, and security of AI systems in production environments. Collaborate closely with data scientists, software engineers, and IT architects to seamlessly integrate ML models into existing systems and operational processes. Implement monitoring, drift detection, and controlled retraining to maintain model performance. Champion best practices in MLOps, governance, and compliance across teams. Drive the operational deployment of computer vision use cases, including intelligent drone flight management. Collect and analyze telemetry data from GenAI systems using Traceloop and OpenTelemetry. Integrate custom LLM applications with data catalogs and MS Teams environments. What We’re Looking For Proven experience as an AI Consultant, with a strong track record in MLOps architecture and delivery (5+ years, senior level). Expertise in hosting robust AI systems using Docker, Azure Container Apps, Kubernetes, and Azure Machine Learning Workspace (5+ years). Advanced skills in monitoring AI systems with Prometheus, Grafana, and Azure Log Analytics (5+ years). Experience designing custom multi‑agent systems (not MSFT Copilot) integrated with MS Teams (3+ years, medior level). Demonstrated knowledge of integrating custom LLM applications with data catalogs (3+ years, medior level). Extensive knowledge of data storage systems and ETL best practices, with hands‑on experience in Azure Databricks, Azure SQL, Azure Data Lake Storage, and Oracle (5+ years). Experience scaling AI solutions on cloud platforms such as AWS, Azure, or Google Cloud. Proficiency in programming languages such as Python, R, or Java for AI application development. Hands‑on experience with a variety of machine‑learning techniques. Familiarity with Dscribe Data Catalog. Operational deployment experience with computer vision use cases, especially for drone operations. Experience collecting telemetry data from GenAI systems using Traceloop and OpenTelemetry. Understanding of logistics or nautical chains and how operational AI models are applied within these domains. Builder mindset: ownership, problem‑solving, and a relentless drive for impact. Fluency in Dutch at European CEFR level C2 is required. Other Requirements This is a freelance position, full‑time (100%), for a 12‑month assignment starting January 2026. Remote work is possible, with collaboration centered in Antwerp. Engagement is under a framework agreement (2022–2027). Candidate selection is based on a 50% quality and 50% price weighting. All candidates are vetted through RELYzIT Talent’s VECTOR7™ Signal Stack for elite builder fit. Ready to build the future? Upload your CV and join the movement where builders lead the way. Seniority level Mid-Senior level Employment type Full‑time Job function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr