Job Description
Experience in MLOps or related roles - Data Science - Hands-on experience with ML model deployment and monitoring - System Administration - Proven track record of implementing CI/CD pipelines - Automation Tools - Experience with version control systems (Git).
Assess the complete ML development process. - Data Engineering - Evaluate the maturity level of ML systems. - Software Development - Provide recommendations for improvement - DevOps - Implement and maintain CI/CD pipelines for ML models. - Monitor and manage model performance in production.
