
AI Infrastructure Specialist
2 days ago
Overview:
This role offers a unique opportunity to play a leading part in shaping technical infrastructure and product success as an early engineering hire.
The position requires expertise in MLOps, AI/ML Infrastructure, Platform Engineering, or related Backend Engineering fields.
- Key Responsibilities:
- Design, build, and maintain robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.
- Architect, implement, and manage scalable and reliable infrastructure for data storage, model deployment (CI/CD), and inference serving on cloud platforms.
- Work closely with frontend and product teams to design and implement backend services and APIs that power responsive, data-driven UI experiences.
- Manage databases, implement background task processing and access control.
- Implement monitoring, logging, and alerting systems; manage secrets securely; ensure system scalability and stability through automated deployments and rollbacks.
Requirements:
5+ years of proven experience in MLOps, AI/ML Infrastructure, Platform Engineering, or related Backend Engineering roles.
Strong programming skills, particularly in Python, and deep experience with ML frameworks.
Extensive hands-on experience with CI/CD practices, containerization (e.g., Docker), and cloud platforms.
Proven experience designing and managing data storage solutions (databases, cloud storage) and messaging/queuing systems in production.
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