pQ-Tech is currently looking for an strongMLOps Engineer /strong to join one of Europe's leading online marketplaces. /ppThe company is investing heavily in strongArtificial Intelligence and Machine Learning /strong, and is looking for an engineer who can help build the infrastructure, tooling and processes required to bring ML models and AI systems reliably into production. /ppThe role sits at the intersection of strongMachine Learning, Software Engineering, Cloud Infrastructure and Platform Engineering /strong, working closely with Data Scientists, ML Engineers and Software Engineers. /ppstrongResponsibilities /strong /pulliBuild and improve MLOps and ML platform infrastructure /liliAutomate Machine Learning workflows and model lifecycles /liliSupport the deployment, scaling and monitoring of ML models in production /liliDevelop reusable tooling and platforms for Data Science and ML teams /liliImprove the reliability, scalability and observability of ML systemS /liliContribute to architecture decisions and engineering best practices /liliWork with cloud-native infrastructure and modern DevOps practices /li /ulpstrongRequirements /strong /ppThe adecuado candidate will have: /pulliProfessional experience in strongMLOps, ML Platform Engineering, ML Infrastructure or Machine Learning Engineering /strong /liliStrong software engineering skills, particularly in strongPython /strong /liliExperience deploying and operating Machine Learning systems in production /liliExperience with strongcloud platforms /strong such as AWS, GCP or Azure /liliExperience with technologies such as strongDocker,



Kubernetes, CI/CD and Infrastructure as Code /strong /liliA strong understanding of scalability, reliability and observability in production environments /li /ulpExperience with model serving, distributed systems, ML pipelines or cloud-native architectures will be highly valued. /pullistrongFlexible working hours /strong designed to support a healthy work-life balance /lilistrongCompetitive salary package /strong and additional benefits /lilistrongFlexible compensation and benefits programme /strong, including options such as meal vouchers, transport and other benefits /lilistrongPrivate health insurance /strong /lilistrongLearning and development opportunities /strong, including access to training and professional development resources /lilistrongTechnical conferences and events /strong to support continuous learning and knowledge sharing /lilistrongEmployee discounts and exclusive offers /strong through the company's benefits programme /lilistrongModern offices in Barcelona /strong and a collaborative, international working environment /li /ulpThis is an opportunity to work on the infrastructure powering Machine Learning and AI products at significant scale, collaborating with highly skilled Engineering, Data and ML teams. /ppThe successful candidate will have the opportunity to influence the evolution of the company's ML platform, solve complex infrastructure challenges and contribute directly to the development of the company's AI capabilities within one of Europe's leading technology companies. /p #J-18808-Ljbffr

📌 MLOps Engineer (Barcelona)
🏢 Q-Tech
📍 Barcelona