MLOps Engineer
Pubblicato il 13-08-2026 - Jobgether in Italia
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a MLOps Engineer based in Italy.
Join a high-impact engineering team building the infrastructure that powers next-generation AI solutions for enterprise-scale decision-making. In this role, you will design, deploy, and optimize production-grade machine learning systems that support the full ML lifecycle, from training to inference. You'll collaborate with talented engineers to create highly scalable, reliable, and secure MLOps platforms capable of handling demanding workloads. This is an opportunity to solve complex technical challenges, improve model performance at scale, and contribute to cutting-edge AI technologies in a fast-paced, collaborative, and remote-first environment. The role offers significant ownership, modern cloud-native tooling, and the chance to shape the future of production AI systems.
Accountabilities
- Develop, automate, and maintain scalable machine learning pipelines, CI/CD workflows,
and orchestration frameworks to support efficient model development and deployment.
- Design and implement high-performance model serving infrastructure using industry-standard serving frameworks while optimizing inference for low latency and high throughput.
- Build reliable deployment strategies including A/B testing, canary releases, rollback mechanisms, and production validation processes.
- Create robust monitoring, logging, alerting, and observability solutions to ensure model reliability, performance, and operational excellence.
- Optimize infrastructure utilization by improving GPU efficiency, enabling autoscaling, and managing cloud resources effectively.
- Design and maintain feature stores, scalable data pipelines, and storage architectures capable of supporting large-scale training and inference workloads.
- Collaborate with engineering teams to continuously improve platform scalability, security, governance, and operatio