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Q-Tech is currently looking for an MLOps Engineer to join one of Europe's leading online marketplaces.A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. ¡Mucha suerte!The company is investing heavily in Artificial Intelligence and Machine Learning, 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.The role sits at the intersection of Machine Learning, Software Engineering, Cloud Infrastructure and Platform Engineering, working closely with Data Scientists, ML Engineers and Software Engineers.ResponsibilitiesBuild and improve MLOps and ML platform infrastructureAutomate Machine Learning workflows and model lifecyclesSupport the deployment, scaling and monitoring of ML models in productionDevelop reusable tooling and platforms for Data Science and ML teamsImprove the reliability, scalability and observability of ML systemSContribute to architecture decisions and engineering best practicesWork with cloud-native infrastructure and modern DevOps practicesRequirementsThe idóneo candidate will have:Professional experience in MLOps, ML Platform Engineering, ML Infrastructure or Machine Learning EngineeringStrong software engineering skills, particularly in PythonExperience deploying and operating Machine Learning systems in productionExperience with cloud platforms such as AWS,



GCP or AzureExperience with technologies such as Docker, Kubernetes, CI/CD and Infrastructure as CodeA strong understanding of scalability, reliability and observability in production environmentsExperience with model serving, distributed systems, ML pipelines or cloud-native architectures will be highly valued.BenefitsHybrid working modelFlexible working hours designed to support a healthy work-life balanceCompetitive salary package and additional benefitsFlexible compensation and benefits programme, including options such as meal vouchers, transport and other benefitsPrivate health insuranceLearning and development opportunities, including access to training and professional development resourcesTechnical conferences and events to support continuous learning and knowledge sharingEmployee discounts and exclusive offers through the company's benefits programmeModern offices in Barcelona and a collaborative, international working environmentWhy join?This 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. xqbhyrx The 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.

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