Aws Engineer With Devops

Q-Tech is currently looking for an MLOps Engineer to join one of Europe’s leading online marketplaces.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 ideal 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.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.

The ideal candidate will have: Professional experience in MLOps, ML Platform Engineering, ML Infrastructure or Machine Learning Engineering Strong software engineering skills, particularly in Python Experience deploying and operating Machine Learning systems in production Experience with cloud platforms such as AWS, GCP or Azure Experience with technologies such as Docker, Kubernetes, CI/CD and Infrastructure as Code A strong understanding of scalability, reliability and observability in production environments Experience with model serving, distributed systems, ML pipelines or cloud-native architectures will be highly valued.

Hybrid working model Flexible working hours designed to support a healthy work-life balance Competitive salary package and additional benefits Flexible compensation and benefits programme, including options such as meal vouchers, transport and other benefits Private health insurance Learning and development opportunities, including access to training and professional development resources Technical conferences and events to support continuous learning and knowledge sharing Employee discounts and exclusive offers through the company’s benefits programme Modern offices in Barcelona and a collaborative, international working environment Why 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. 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.