Senior MLOps Architect

Role & responsibilities

• Design enterprise MLOps architecture and practices
• Establish model deployment and monitoring frameworks
• Implement automated model retraining pipelines
• Create model performance monitoring systems
• Define MLOps standards and best practices
• Support critical model deployments
• Guide teams on MLOps implementation
• Oversee model governance and compliance

Preferred candidate profile

• Total Experience: 8+ years in software/data engineering
• MLOps Experience: 3+ years in production ML deployments
• Strong background in DevOps and cloud platforms
• Experience with distributed systems and scaling
• Track record of enterprise ML implementations