
AI Cloud Infrastructure Architect
3 days ago
We are looking for a highly skilled AI Cloud Infrastructure Architect to join our team.
The successful candidate will be responsible for designing and implementing cloud-based AI infrastructure solutions that meet the needs of our business.
Key Responsibilities:
- Designing and deploying cloud-based AI infrastructure solutions
- Ensuring scalability, performance, and reliability of AI systems
- Collaborating with cross-functional teams to integrate AI models into existing applications
- Staying up-to-date with emerging technologies and trends in AI and cloud computing
Requirements:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
- 10-15 years of experience in cloud architecture with 5+ years specializing in AI/ML system design and deployment
- 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)
Benefits:
- Opportunity to work on cutting-edge AI projects
- Collaborative and dynamic work environment
- Professional development and growth opportunities
Others:
- Designing responsible AI and ethical AI frameworks ensuring bias mitigation and fairness
- Integrating AI solutions with cloud-native MLOps pipelines for continuous training, deployment, and monitoring
- Leveraging serverless AI services and edge AI for real-time, scalable applications
Keyword: AICloudInfrastructure
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