Sr. MLOps Engineer

• Build and manage end-to-end MLOps pipelines for ML model training and deployment
• Implement CI/CD, model versioning, automated testing, and production releases
• Deploy and monitor ML models using cloud, Docker, and Kubernetes
• Implement model monitoring, drift detection, observability, and performance optimization
• Collaborate with Data Scientists and ML Engineers to ensure reliable production AI systems

Overview

• Industry - IT - Consulting Services / Advisory Services
• Job Role - Sr. MLOps Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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