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. Peripheral is seeking a skilled Infrastructure Engineer to design and operate its cloud systems.

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. Key Responsibilities:

- 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 Requirements:
- 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
- Robust skills in containers and orchestration tools Shape Peripheral's infrastructure with your leadership and systems expertise.

📌 Cloud Infrastructure Engineer at Peripheral (Toronto)
🏢 Jaide Health
📍 Toronto