For a global customer in West Flanders, I am searching for several consultant profiles around MLOps, Artificial Intelligence and Data. You'll build and operate production ML systems and analytics pipelines that turn product, inventory and customer data into reliable models and BI insights. You'll also collaborate closely with data engineers, data analysts, product owners and business stakeholders to productize AI features and drive self-service BI. ResponsibilitiesDesign, implement and maintain end-to-end ML pipelines on Google Cloud.Deploy models to production using best-practice CI/CD and infrastructure as code; manage model serving (real-time and batch).Build and maintain data platforms for analytics and BI.Implement feature stores, experiment tracking, model versioning and reproducible training workflows.Automate data/ML workflows.Monitor model performance, data drift, and production data quality; set up alerts andautomated remediation where possible.Improve platform reliability, cost efficiency and security. ProfileStrong engineering fundamentals: Python (ecosystem for ML), SQL, testing, modular design.Production MLOps experience (deploying and operating models at scale).Hands-on experience with Google Cloud Platform components.Experience with model CI/CD and infra as code tools.Containerisation and orchestration.Familiar with ML tooling.Strong SQL + BigQuery performance tuning.Experience building/consuming BI dashboards and translating business metrics into data models.Observability: logging, metrics, tracing, model monitoring and alerting.Good understanding of data governance/security and GDPR considerations. Additional detailsSeniority: Medior or SeniorStart Date: JanuaryDuration: 6 MonthsExtension: YesContract: FreelanceLocation: West FlandersOnsite Policy: 2 days per weekHours Per Week: 40Languages: Fluent Dutch and EnglishInterview Process: 1-2 stages