
Cloud Infrastructure Architect
7 days ago
AI Cloud Infrastructure Design
This role is responsible for designing and implementing AI-powered cloud infrastructures that meet business needs.
The ideal candidate will have expertise in cloud services, architecture, and scalability, as well as experience with AI frameworks, machine learning, and data engineering.
- Achieving Business Outcomes: Ensure alignment with business strategy by working with stakeholders to understand requirements and translate them into technical solutions.
- Cloud Infrastructure Management: Oversee deployment process, monitor performance, and ensure the long-term health of AI solutions.
- Collaboration: Work with data scientists, engineers, and developers to implement AI solutions.
Key Skills:
- Cloud Services: Experience with cloud platforms (Azure, AWS, Google) and cloud-native MLOps pipelines.
- AI Frameworks: Knowledge of TensorFlow, PyTorch, scikit-learn integrated with cloud platforms.
- Data Engineering: Understanding of data engineering concepts and cloud data platforms.
Bonus Points:
- Cutting-Edge Technologies: Familiarity with emerging AI technologies like NLP, computer vision, reinforcement learning.
- Container Orchestration: Experience with Kubernetes for scalable AI deployments.
We're Looking for a Professional Who Can:
- Drive Innovation: Identify future AI needs and plan for the evolution of AI systems.
- Foster Collaboration: Work effectively with cross-functional teams to implement AI solutions.
- Evaluate Performance: Monitor and improve AI solution performance.
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