Senior MLOps Engineer

<div class="content-intro"><p><strong>Appodeal</strong> is a dynamic US-based product company with a truly global presence.</p> <p>We have offices in <strong>Warsaw, Barcelona and Parkland (FL), </strong>along with remote team members located around the world.</p> <p>Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.</p> <p><strong>Why Appodeal?</strong></p> <p>At Appodeal, we’re more than just a company—we’re a team united by a common mission: <strong>Help people discover and grow their talents through products that enable successful mobile app businesses!</strong></p> <p>We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.</p> <p>Here’s what we value, and what we hope you do too:</p> <ul> <li><strong>Continuous Learning and Growth:</strong> We are passionate about learning, growing personally, and building rewarding careers.</li> <li><strong>Making an Impact:</strong> We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.</li> <li><strong>Solving Exciting Challenges:</strong> We tackle complex problems every day, supported by a team of world-class professionals and mentors.</li> <li><strong>Enjoying the Journey:</strong> We believe in having fun while working toward our goals.</li> </ul></div><p>We are looking for a <strong>Senior MLOps Engineer</strong> to add to our <strong>Data team in Barcelona.</strong></p> <p>Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.</p> <p>You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.</p> <p>You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.</p> <h4>Responsibilities:</h4> <ul> <li>Design, operate, and improve the ML platform, including Databricks workflows for training