Lead Engineer AI Model Infrastructure

Position: Lead Engineer for AI Model Infrastructure
Step into the role of Lead Engineer focusing on building AI model infrastructure. Harness GPU resources and create self-service platforms to enhance AI deployment capabilities.
As a Lead Engineer, your responsibilities include designing and operating GPU infrastructures tailored for diverse AI model use cases. You'll prioritize robust systems for model serving, while also implementing multi-model routing strategies. By spearheading initiatives on model optimization and self-service platforms, you will enhance team efficiency in deploying AI solutions.

Key Responsibilities:

• Design and manage GPU infrastructures for AI models

• Optimize model serving systems for latency and availability

• Drive comprehensive model lifecycle management

• Create self-service tools for developer teams

• Establish observability metrics for system performance
Requirements:

• 8+ years in software engineering

• Proven experience with ML infrastructure and cloud services

• Strong background in GPU-related technologies

• Proficient in Python, Go, or C++

• Familiarity with infrastructure-as-code practices
Transform how teams leverage AI by refining infrastructure standards and enhancing model deployment processes.
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