
Future Cloud AI Systems Designer
22 hours ago
The role of Cloud AI Architect involves designing and implementing cloud-based artificial intelligence (AI) systems. This includes selecting appropriate cloud services, designing the architecture, and ensuring scalability and performance.
Key responsibilities include integrating AI models into existing cloud infrastructure and applications, ensuring alignment with business strategy, managing deployment and maintenance, and identifying future AI needs.
- Designing AI-Powered Cloud Infrastructures: Develop cloud architectures that support the deployment and management of AI models.
- Integrating AI Models: Seamlessly incorporate AI models into existing cloud infrastructure and applications.
- Ensuring Alignment with Business Strategy: Work with stakeholders to understand business requirements and translate them into technical solutions.
This is a senior-level position requiring 10-15 years of experience in cloud architecture with 5+ years specializing in AI/ML system design and deployment. A bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field is required.
Technical Skills:
- Deep knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) integrated with cloud platforms.
- 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.
Desired Competencies:
- Excellent leadership and stakeholder management skills.
- Understanding of data engineering concepts and cloud data platforms.
- Familiarity with cloud security standards and data privacy regulations.
Benefits:
- Advanced AI/ML certifications are desirable.
- Experience with cutting-edge AI technologies like NLP, computer vision, reinforcement learning is beneficial.
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