MLOps Engineer

Experteer Overview

As an MLOps Engineer, you will design, build, and run production‑grade ML and GenAI infrastructure at scale. You’ll work at the intersection of AI, product engineering, and cloud infrastructure to ensure reliable and well‑governed AI workloads. You’ll partner with AI scientists and engineers to move models from experiment to production while optimizing performance and costs. This is a hands‑on, platform‑focused role that shapes the AI foundation of Soldo’s financial experiences.

Retribuzione / Benefits

• Design, build and maintain scalable ML and GenAI infrastructure
• Productionise AI models and services across training, deployment and inference workflows
• Build and optimise CI/CD pipelines for ML systems
• Improve reliability, observability and monitoring of AI workloads
• Enable reproducible experimentation, model versioning and automated deployment processes
• Partner with AI Scientists to accelerate transition from experimentation to production
• Optimise infrastructure performance, scalability and operational costs
• Support governance, compliance and security best practices for AI systems
• Contribute to the evolution of our AI platform architecture and engineering standards
• Drive operational excellence across the ML lifecycle

Responsabilità

• Strong experience in MLOps, ML Platform Engineering or AI Infrastructure roles
• Proven experience deploying and operating ML/AI systems in production environments
• Strong Python engineering skills
• Strong knowledge and experience with PySpark and Databricks
• Solid experience with cloud platforms such as AWS, GCP or Azure
• Experience with containerisation and orchestration technologies (Docker, Kubernetes)
• Experience building CI/CD workflows for ML systems
• Familiarity with ML orchestration and experiment management tools such as MLflow, Kubeflow, Airflow or similar
• Experience with monitoring, logging and observability tools
• Understanding of distributed systems and scalable backend architectures
• Experience working in cross‑functional SaaS product environments
• Strong communication and collaboration skills

Requisiti fondamentali

• Competitive salary
• Private healthcare for you and your family
• Lunch vouchers
• Career development budget
• Mentoring programme and leadership pathway
• Flexible working options (WFH or Milan/Rome)