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MLOps Engineer: Build, Deploy & Monitor ML Pipelines
Job summary
A technology company in the United Arab Emirates is seeking an experienced MLOps Engineer to enhance machine learning workflows. This role involves designing ELT pipelines, constructing MLOps frameworks, and implementing CI/CD processes for models. The ideal candidate should have strong Python skills, familiarity with Docker, and a foundational understanding of machine learning. The position offers the opportunity to work remotely and includes 40 paid days off, fostering a supportive corporate culture.
Benefits
Qualifications
- Strong knowledge of Python is essential.
- Familiarity with Docker for containerization.
- Understanding of machine learning techniques is necessary.
Responsibilities
- Design and build ELT pipelines for processing data.
- Construct MLOps pipelines for model retraining.
- Implement CI/CD pipelines for model deployments.
- Create monitoring services for ML models in production.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.