Staff MLOps Engineer (AI/ML Platform)

Cint is hiring a Staff MLOps Engineer to build and own the AI/ML platform, focusing initially on the Synthetic Data Platform and later scaling to other ML initiatives. This role involves auditing the current ML pipeline, designing a shared platform for training, serving, and monitoring, and working closely with the AI/ML team in Prague.

• Audit the existing AI/ML training and serving setup and decide whether to extend or rebuild. Build the shared AI/ML platform including training infrastructure, experiment tracking, model registry, serving, and monitoring. Own training infrastructure on Databricks and Unity Catalog. Build low-latency serving APIs and batch scoring jobs. Implement monitoring for data drift, model drift, and accuracy regression. Manage ML compute costs and represent spend to stakeholders. Mentor engineers and drive AI tooling adoption.

• Deep ML platform expertise at scale. Experience with Kubernetes and cloud (AWS preferred). Polyglot engineer with Python, Scala, or Java. Strong understanding of feature stores, model registries, and serving patterns. Systems architecture mindset. Ability to lead through standards and RFCs.

• Experience with Unity Catalog, Java/Spring, GCP, or Grafana dashboards.