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
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