AI/ML Specialist Solutions Architect

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Requirements:

• 5+ years of experience in cloud architecture or engineering roles.
• Deep expertise in cloud computing platforms (e.g., AWS, Azure, GCP).
• Strong understanding of core cloud services like compute and storage.
• Proficiency in DevOps practices, especially CI/CD and container orchestration.
• Scripting and programming skills in Python, Go, Java, or similar.
• Strong understanding of distributed computing concepts.
• Excellent problem-solving skills for complex issues.
• Strong communication and collaboration skills with cross-functional teams.

Responsibilities:

• Design tailored cloud architectures based on client requirements.
• Serve as a technical advisor on cloud adoption and optimization.
• Develop and contribute to a training and inference Solutions Library.
• Create reusable, scalable, and secure reference architectures.
• Conduct workshops and technical sessions for user education.
• Develop automation scripts for ML training workflows.
• Collaborate on product enhancements based on customer feedback.
• Monitor emerging technologies and integrate them into customer strategies.