MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer.

Key Responsibilities

• Architect and manage core MLOps infrastructure for model training, validation, and inference serving
• Develop and maintain CI/CD/CT pipelines for automating testing and deployment of ML models
• Implement monitoring and alerting for model performance and system health to ensure production stability

Required Qualifications

• BS in Computer Science or a related technical field, or equivalent practical experience
• 3+ years of professional experience in MLOps, DevOps, or Software Engineering focused on infrastructure
• Hands-on experience with at least one major cloud provider (e.g., AWS, GCP, Azure)
• Strong proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Experience designing and implementing automated CI/CD pipelines from scratch