Staff MLOps Engineer (AI/ML Platform)

Cint is hiring a Staff MLOps Engineer to own the AI/ML platform, starting with the Synthetic Data Platform and later supporting Trust Score and other ML initiatives. The role covers auditing the existing training/serving setup, building shared ML infrastructure on Databricks and Kubernetes, and driving model serving, monitoring, and cost efficiency. You'll partner closely with the AI/ML team in Prague and mentor engineers across the organization. Remote work is possible from Germany, Spain, or the UK.

• Audit the existing AI/ML training and serving setup and decide what to extend vs rebuild.
• Build a shared AI/ML platform: training infrastructure, experiment tracking, model registry, serving, and monitoring.
• Oversee the full ML lifecycle from data ingestion and feature processing to annotation workflows.
• Own training infrastructure on Databricks and Unity Catalog with reproducible and traceable pipelines.
• Build model serving with low-latency APIs, batch scoring, and caching, integrated with Java/Spring services.
• Implement observability for data drift, model drift, accuracy regression, and business metrics using Grafana and Prometheus.
• Optimize ML compute costs and communicate infrastructure ROI to finance stakeholders.
• Mentor AI/ML and infrastructure engineers and champion AI-native development tools like Claude Code.

• Deep ML platform experience: feature stores, model registries, serving patterns, and ML observability.