Senior Cloud AI Infrastructure Specialist
2 days ago
Designing AI-powered cloud infrastructures is a critical task in today's business landscape.
This involves selecting the most appropriate cloud services, designing scalable architectures, and ensuring seamless performance.
As an AI Architect, you will be responsible for integrating AI models into existing cloud infrastructure and applications, ensuring alignment with business strategy, managing deployment and maintenance, identifying future AI needs, and collaborating with various teams to implement AI solutions.
The ideal candidate should have 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.
Familiarity with cloud security standards and data privacy regulations.
Excellent leadership and stakeholder management skills are required for this role.
Additional responsibilities 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, leveraging serverless AI services and edge AI for real-time, scalable applications, and collaborating on AI governance and compliance with evolving data privacy laws (e.g., GDPR, CCPA).
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