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Cloud Infrastructure Architect
2 weeks ago
We are seeking an experienced MLOps Engineer to join our team and contribute to shaping the future of retail.
In this role, you will design and implement robust MLOps pipelines, automate model training and deployment processes, and monitor the performance of ML systems.
Main Responsibilities
- Design, develop, and maintain end-to-end MLOps pipelines for model deployment, monitoring, maintenance, and scalability.
- Automate retraining, testing, and validation processes for ML models.
- Collaborate with cross-functional teams to integrate ML models into production systems.
- Monitor model performance, diagnose issues, and implement improvements.
- Ensure scalability, reliability, and compliance of ML systems in production.
- Optimize infrastructure costs while maintaining high system performance.
- Stay up-to-date with the latest developments in MLOps, machine learning, and AI, and apply new techniques to improve existing models and processes.