Azra AI · 22 hours ago
AI/ML Cloud Architect
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Responsibilities
Architect and design scalable cloud infrastructure on GCP to support AI and ML operations.
Lead the implementation of cloud solutions, ensuring scalability, security, and cost-efficiency.
Work closely with data scientists, engineers, and MLOps teams to integrate AI models into the cloud environment.
Optimize cloud infrastructure for AI workloads (e.g., GPU/TPU management, data storage, networking).
Ensure compliance with healthcare regulations (HIPAA, GDPR) and data security requirements.
Provide leadership and guidance on cloud best practices, cost management, and architecture design.
Evaluate and implement new cloud technologies that enhance the AI/ML infrastructure.
Collaborate with other teams to ensure smooth integration and deployment of AI models into production.
Qualification
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Required
Bachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related fields.
7+ years of experience in cloud architecture with a focus on AI and ML solutions.
Extensive experience with GCP (Google Cloud Platform) and its AI/ML services (Vertex AI, Kubernetes, BigQuery).
Strong knowledge of cloud security, networking, and performance optimization.
Experience in designing and implementing scalable AI/ML infrastructure in a cloud environment.
Familiarity with healthcare industry standards and data compliance requirements.
Excellent communication skills and ability to work with cross-functional teams.
Company
Azra AI
Azra AI provides a better care experience and better outcomes by quickly analyzing, identifying, and classifying oncology patients.
Funding
Current Stage
Early StageTotal Funding
unknown2022-03-10Pre Seed· Undisclosed
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