Elevate your career as a Cloud Infrastructure Engineer with Peripheral, focusing on building scalable cloud infrastructure for ML. Contribute to advanced sports analytics and immersive media experiences. This role is crucial for enabling large-scale model training and reliable inference during live events.
Collaboration with the CTO and cross-functional engineering teams will allow you to leverage your expertise in DevOps, MLOps, and architectural systems thinking. Design and operate cloud infrastructure for ML tasks
- Scale foundation model training workflows effectively
- Develop production systems for reliable model deployment
- Create data pipelines for sensor data management
- Establish standards for infrastructure-as-code and monitoring Bachelor's or higher in Computer Science or related field
- 4+ years with production cloud infrastructure for ML
- Deep knowledge of AWS or GCP
- Experience in distributed training and job orchestration
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📌 Cloud Infrastructure Engineer at Peripheral (Toronto)
🏢 Jaide Health
📍 Toronto
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