
Chief Cloud AI Infrastructure Specialist
2 days ago
The primary role of a Cloud AI Architect is to design and implement cutting-edge AI-powered cloud infrastructures. This position requires in-depth knowledge of AI/ML frameworks integrated with cloud platforms, as well as expertise in cloud AI services, MLOps tools, and data engineering concepts.
Key Responsibilities:- Designing and developing AI-powered cloud infrastructures, including selecting appropriate cloud services, designing the architecture, and ensuring scalability and performance.
- Proficient with cloud AI services: Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform.
- Experience with MLOps tools (Kubeflow, MLflow, Azure MLOps).
- Strong programming skills in Python, R, or Java.
- A minimum of 10-16 years of experience in AI/ML.
- Deep understanding of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) integrated with cloud platforms.
- Familiarity with cloud security standards and data privacy regulations.
- Excellent leadership and stakeholder management skills.
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