AI Infrastructure Architect

22 hours ago


San Francisco, California, United States Unreal Gigs Full time
Design and Build AI Infrastructure

As an AI Infrastructure Engineer at Unreal Gigs, you'll play a critical role in building the platforms that support machine learning and AI development across the organization.

You'll work closely with data scientists, software engineers, and DevOps teams to ensure that AI systems run efficiently, securely, and at scale.

Your work will enable fast experimentation, seamless deployments, and the continuous delivery of AI models into production.

Key Responsibilities:
  • Design and implement scalable infrastructure that supports AI workloads, including machine learning model training, large-scale data processing, and real-time inference.
  • Collaborate with data scientists and engineers to build pipelines that automate the end-to-end machine learning lifecycle, from data ingestion to model training, deployment, and monitoring.
  • Implement strategies to optimize compute resources for AI workloads, including GPU/TPU provisioning, memory management, and parallel processing.
  • Manage cloud-based AI platforms (AWS, GCP, Azure) as well as on-premise infrastructure for AI development.
  • Implement and maintain CI/CD pipelines for machine learning models to enable rapid experimentation, testing, and deployment.
  • Ensure that the AI infrastructure complies with security best practices and regulatory requirements.
  • Continuously monitor the health and performance of AI infrastructure, identifying bottlenecks, reducing latency, and troubleshooting issues.


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