ML Platform Solution Architect & Engineer

<p><strong><span style="color:#000000">Antwerp/Amsterdam/Vilvoorde</span></strong><span style="color:#000000"> - The ML Platform solution architect &amp; engineer plays a central role within the ML Platform team. We are the driving force behind the strategic technology that enables our ML-driven use cases throughout the company like powering features like search and recommendations on popular apps such as de Volkskrant, HLN, and VTM-Go. Because our platform serves the entire DPG data- and product development community, your work will be highly visible and have a massive impact across the organization. </span></p><p><span style="color:#000000">In this dynamic environment, you ensure that ML technologies are utilized in a coherent, scalable, and secure way. You contribute to the long‑term vision of enabling accessible, high-performing ML model deployment. Working closely with the Data Area Manager and Product Owner, you translate this vision into concrete initiatives and epics that shape our roadmap. Why we combine Architecture and Engineering We strongly believe that architectural responsibility should go hand-in-hand with hands-on platform engineering. We do this for three key reasons: </span></p><ul><li><p><strong><span style="color:#000000">Grounded decisions: </span></strong><span style="color:#000000">Building alongside a group of seasoned platform engineers ensures your architectural choices are rooted in daily reality;</span></p></li><li><p><strong><span style="color:#000000">Cutting-edge expertise:</span></strong><span style="color:#000000"> Staying hands-on keeps your skills razor-sharp and continuously up-to-date with the latest tech;</span></p></li><li><p><strong><span style="color:#000000">Seamless collaboration:</span></strong><span style="color:#000000"> Working in the same agile rhythm maximizes alignment and communication with both engineers and the Product Owner.</span></p></li></ul><p><strong><span style="color:#000000"><br>Key responsibilities</span></strong></p><p><u><span style="color:#000000">Solution architecture</span></u></p><ul><li><p><span style="color:#000000">Advise DPG Media on ML platform technologies, including their configuration, evolution, and alignment with the overarching enterprise strategy;</span></p></li><li><p><span style="color:#000000">Monitor and guide how these technologies are adopted across the organization, ensuring they empower ML-driven use cases and comply with governance principles;</span></p></li><li><p><span style="color:#000000">Collaborate with the Data Area Manager and Data Domain Architect to define priorities and guarantee architectural coherence within the broader enterprise landscape;</span></p></li><li><p><span style="color:#000000">Translate the long‑term architectural vision into practical, actionable platform features, maintaining a clear overview of technical dependencies.</span></p></li><li><p><span style="color:#000000">Participate in the Enterprise Architecture Community of Practice in order to collaborate with other architects and share your domain knowledge and practices.</span></p></li></ul><p><u><span style="color:#000000"><br>Platform Engineering</span></u></p><ul><li><p><span style="color:#000000">Act as a hands-on technical expert to troubleshoot and resolve complex, high-level platform and model deployment issues</span></p></li><li><p><span style="color:#000000">Continuously develop and apply your expertise in our core MLOps stack (Kubernetes, ML flow, and Kubeflow)</span></p></li><li><p><span style="color:#000000">Serve as a crucial bridge between platform users (like Data Scientists and ML Engineers) and the platform engineering team, translating technical challenges into robust solutions</span></p></li><li><p><span style="color:#000000">Help shape our engineering culture by setting best practices, documenting solutions, and actively participating in co-location days, guilds, and communities of practice</span></p></li></ul><p><strong><span style="color:#000000"><br>Who are you?</span></strong></p><ul><li><p><span style="color:#000000">You are an experienced IT professional with a solid background in platform engineering and proven experience with Kubernetes. Hands-on experience with MLflow and/or Kubeflow is highly preferred</span></p></li><li><p><span style="color:#000000">You have a deep understanding of modern MLOps ecosystems, model lifecycles, and scalable model serving</span></p></li><li><p><span style="color:#000000">You are a natural, empathetic communicator, highly skilled at explaining complex technical concepts to both engineering peers and business stakeholders</span></p></li><li><p><span style="color:#000000">You thrive on solving complex problems and take a proactive, hands-on approach to implementing technical solutions</span></p></li><li><p><span style="color:#000000">Most importantly, you are passionate about driving a positive, supportive, and scalable user experience across our entire ML platform</span></p></li>