Staff MLOps Engineer (AI/ML Platform)

Cint is hiring a Staff MLOps Engineer to own the AI/ML platform, supporting synthetic data and respondent quality models. The role focuses on building shared ML infrastructure on Databricks, Kubernetes, and AWS. You will mentor engineers and drive AI-native development practices.

• Audit existing AI/ML training and serving setup, decide what to build on or rebuild
• Build shared AI/ML platform: training infrastructure, experiment tracking, model registry, serving, monitoring
• Oversee full ML lifecycle from data ingestion to annotation workflows
• Own training infrastructure on Databricks and Unity Catalog
• Build low-latency model serving layer with caching, integrate with Java/Spring services
• Implement monitoring for data drift, model drift, accuracy regression, business metrics
• Manage ML compute costs and represent infrastructure spend to stakeholders
• Mentor AI/ML and Infrastructure engineers on best practices
• Drive AI tooling adoption (Claude Code, agentic workflows)

• Deep ML Platform expertise at serious scale, with strong opinions on feature stores, model registries, serving patterns, ML observability
• Mature engineering background across multiple disciplines