Work from Office
Full Time
Responsibilities Responsibilities:- 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. Technical and Professional Requirements: - 3+ years 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). Preferred Skills: Technology->Machine Learning->MLOps Educational Requirements Bachelor of Engineering Service Line Quality * Location of posting is subject to business requirements
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