
Leading Cloud AI Innovator
3 days ago
Seeking a visionary Cloud AI Architect to spearhead the design and implementation of AI-powered cloud infrastructures.
The ideal candidate will possess a deep understanding of AI/ML frameworks integrated with cloud platforms, as well as expertise in cloud AI services and MLOps tools.
Key responsibilities include designing scalable and performant AI architectures, integrating AI models into existing cloud infrastructure, and ensuring alignment with business strategy.
Additionally, the successful candidate will be responsible for managing deployment and maintenance, identifying future AI needs, and collaborating with various teams to implement AI solutions.
Key qualifications include a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field, along with 10-15 years of experience in cloud architecture and 5+ years specializing in AI/ML system design and deployment.
Required skills and qualifications:
- Deep knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) 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.
Preferred qualifications:
- Advanced AI/ML certifications.
- Experience with cutting-edge AI technologies like NLP, computer vision, reinforcement learning.
- Knowledge of emerging AI regulations and ethical AI standards.
Benefits include:
- Designing and implementing 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.
- Collaborating on AI governance and compliance with evolving data privacy laws.
Join our team and drive innovation in AI
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