
Data-Driven Cloud Architect
2 days ago
- This role involves selecting appropriate cloud services, designing the architecture, and ensuring scalability and performance.
- You will work with stakeholders to understand business requirements and translate them into technical solutions.
- Your primary goal will be to oversee the deployment process, monitor performance, and ensure the long-term health of AI solutions.
- Designing AI-Powered Cloud Infrastructures:
- Selecting appropriate cloud services
- Designing the architecture
- Ensuring scalability and performance
- Integrating AI Models:
- Seamlessly incorporating AI models into existing cloud infrastructure and applications
- Ensuring Alignment with Business Strategy:
- Working with stakeholders to understand business requirements
- Translating business requirements into technical solutions
- Managing Deployment and Maintenance:
- Overseeing the deployment process
- Monitoring performance
- Ensuring the long-term health of AI solutions
- Deep knowledge of AI/ML frameworks integrated with cloud platforms
- Proficient with cloud AI services: Azure AI, AWS AI/ML, Google AI Platform
- Experience with MLOps tools: Kubeflow, MLflow, Azure MLOps
- Strong programming skills in Python, R, or Java
- Understanding of data engineering concepts and cloud data platforms
- Familiarity with cloud security standards and data privacy regulations
- Excellent leadership and stakeholder management skills
This is an exciting opportunity for professionals looking to shape the future of AI technology and drive business success through innovative solutions.
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