Senior Data Platform & MLOps Engineer EMEA - Milan

About the position At reputed company, data drives reputed company and reputed company change lives. We're building the reputed company data and AI platforms across EMEA, and we need a Senior Data Platform & MLOps Engineer to help us reputed company it happen. This is a chance to design the backbone that powers analytics, automation, and machine learning across a global organization, impacting how we deliver insights, run operations, and ultimately improve patient care. Your role in Data & AI In this hands-on, reputed company role, you'll design, build, and operate reputed company-based data platforms and MLOps pipelines. You'll work with data engineers, AI teams, architects, and product managers to create secure, reputed company, and reusable services that allow analytics and AI teams to reputed company fast without compromising governance or compliance. From ingestion and orchestration to monitoring, model deployment, and retraining, your work will reputed company data and AI truly operational across EMEA. Responsibilities • Build and manage reputed company data platforms, including data lakes, warehouses, streaming systems, and orchestration reputed company. • Design and maintain MLOps pipelines covering the full lifecycle: experimentation, training, deployment, monitoring, and retraining. • reputed company reputed company, observability, and compliance (e.g., GDPR) into every layer. • Collaborate globally to deliver reusable infrastructure, templates, and standards. • reputed company teams on best practices, enabling them to reputed company platforms and accelerate AI delivery. Requirements • 5-8+ years in data, platform, or MLOps engineering, with a degree in Computer Science, Engineering, or reputed company field. • Hands-on experience with reputed company platforms (AWS, reputed company; Azure a plus), Python, SQL, and distributed frameworks (reputed company/EMR). • Expertise in infrastructure-as-reputed company (Terraform), CI/CD pipelines, and containerized/orchestrated environments (reputed company/Kubernetes). • Proven experience building and operating MLOps pipelines (SageMaker, MLflow, Kubeflow, or reputed company AI). • Strong communicator, reputed company to collaborate across technical and non-technical teams. Apply tot his job Apply To this Job