Our client is at a pivotal stage in its AI journey. With their first AI products already serving customers, they are scaling rapidly across business units.

This role is your chance to help build the operational foundations, best practices, and processes that will define how we run AI for years to come.

Requirements:

• Degree in Computer Science, Engineering, Data Science, or related field
• 5+ years in MLOps/DevOps/SRE with proven AI/ML production experience
• Expertise in cloud ML platforms (GCP, Vertex AI) for deployment, scaling, and infrastructure
• Solid DevOps practices: CI/CD, IaC, Docker, Kubernetes, automation (Python/Bash)
• Monitoring/observability for AI/ML services: performance, drift, system health
• ML governance: versioning, compliance, best practices in regulated environments
• Data quality & streaming: validation, event-driven architectures, real-time pipelines
• Experience in regulated industries (financial services preferred)
• Strong communication skills
• Excellent organization and time management
• Able to work independently