George Bernard Consulting
AI Platform Engineering - MLOps/DevOps
Full-time
About the job
Design scalable, secure, and reliable infrastructure to support AI/ML workloads Build and implement MLOps pipelines to streamline model development, testing, and deployment Manage the end-to-end lifecycle of ML models, from development through retirement Set up monitoring and observability systems to track model performance, drift, and health in production Implement governance controls to ensure AI systems are compliant, auditable, and responsibly managed Integrate AI/ML platforms and models with existing enterprise systems and workflows Requirements 6+ years of relevant experience in AI platform engineering, MLOps, or DevOps roles Strong hands-on experience in AI infrastructure...