MLOps Engineer

💫 HIGHLIGHTSRole: MLOps Engineer – AI Team Location: Antwerp, Belgium (full-time, onsite) Contract type: Full-time Start: ASAP Role USP: Play a key role in building the technical backbone and operational processes for large-scale AI adoption within a forward-thinking, enterprise environment.🎯 YOUR ROLEAs an MLOps Engineer, you will be at the heart of our AI Team, building the technical foundations for AI adoption across the organization. You will define and implement MLOps frameworks, help deploy machine learning models safely at scale, and ensure AI solutions are reliable, compliant, and maintainable.This is an ideal role for a platform- or MLOps engineer with experience bringing ML capabilities into production, designing robust infrastructure, or creating reusable patterns for enterprise AI. Your work will accelerate AI innovation across operational processes while maintaining ethical and technical integrity.📌 WHAT YOU WILL DOMLOps & InfrastructureDefine and implement the fundamental MLOps framework for model development, deployment, and monitoringBuild and maintain core infrastructure and shared capabilities for secure, scalable AI adoptionEstablish architectural and operational guidelines to enable other teams to build responsible AI solutionsCollaboration & IntegrationWork closely with data engineers, architects, and infrastructure teams to integrate AI into production systemsPromote CI/CD discipline, observability, and lifecycle management for AI workloadsSupport cross-domain implementations and operational AI solutionsResponsible AIEmbed compliance, transparency, and security into shared tools and processesMonitor model performance and drift to ensure long-term reliability and trust in production AI🫵 YOUR PROFILEMust-have:Experience across the full machine learning lifecycle with strong DevOps/MLOps practices (CI/CD, testing, monitoring)Skilled in Microsoft Azure and Databricks, including deploying and managing production workloadsStrong understanding of containerization (Docker) and orchestration (Kubernetes) in an enterprise environmentProven experience building and maintaining shared infrastructure or platforms used by multiple teamsFamiliarity with Generative AI technologies, including prompt engineering, fine-tuning, embeddings, and RAGKnowledge of vector databases and integration into production AI systemsMindset & Skills:Collaborative, able to guide and support teams adopting shared frameworks and standardsPragmatic, platform-first approach focused on maintainability, security, and complianceStrong ownership and responsibility in building reliable and reusable AI capabilities🛠️ WE OFFERCompetitive package – attractive salary, hospital and dental insurance, group insurance, eco vouchers, phone & subscription, share options, extra leave, restaurant access, and mobility solutions.Growth & Intrapreneurship – training, internal mobility, and room to innovate; shape your own career path with active support.Personal approach & collegial environment – work in a warm, supportive setting with short decision-making lines, direct access to leadership, and a culture of trust, humor, and collaboration.Sustainable collaboration – low turnover, long-term relationships, and a focus on growing together with both colleagues and clients.📩 INTERESTED?Contact: Jason@recurv.be | +32 465 178 067