AI Cloud Engineer

Design and manage cloud architectures for AI model training and deployment.
Implement scalable and secure pipelines for data processing and model integration.
Optimize cloud resources to ensure cost-effective AI operations.
Collaborate with AI developers to deploy models into production environments.
Monitor and troubleshoot cloud-based AI applications for performance and reliability.

Proficiency in cloud platforms (AWS, Azure, or Google Cloud) and containerization tools (Docker, Kubernetes).
Experience with MLOps practices, including CI/CD pipelines for AI/ML workflows.
Strong programming skills in Python and familiarity with AI frameworks (e.g., TensorFlow, PyTorch).
Knowledge of cloud security and performance optimization techniques.
Bachelor's or Master's degree in Computer Science, AI, or related field.