Senior CVML Platform Engineer

Job Summary

A company is looking for a Senior CVML Platform Engineer to design, build, and evolve platforms that support computer vision and ML workloads at scale.

Key Responsibilities

• Design and enhance platform capabilities for ML training, batch inference, and model deployment
• Enable ML engineers by developing intuitive platform tools and workflows across the model lifecycle
• Develop and optimize hybrid compute environments to support large-scale ML workloads

Required Qualifications

• 5+ years of professional engineering experience in platform, infrastructure, or systems engineering
• Strong technical judgment in evolving legacy platforms and designing new components
• Excellent Python skills used in production systems
• Hands-on experience with cloud platforms (AWS preferred) and container orchestration systems like Kubernetes
• Ability to collaborate effectively with ML engineers and infrastructure teams to translate requirements into platform capabilities