Senior MLOps Engineer - Edge

Stack

Responsibilities

• ▹Build scalable edge deployment infrastructure
• ▹Own the model compilation platform (TensorRT, FP16/INT8)
• ▹Collaborate with data scientists and embedded engineers
• ▹Build automated testing and telemetry on production devices
• ▹Build resilient update mechanisms for low-bandwidth environments
• ▹Mentor the team on Python, IaC, and CI/CD best practices

Requirements

• ▹Experience building and operating production MLOps pipelines
• ▹CI/CD, containerization (Docker), Linux systems
• ▹Hands-on TensorRT model compilation experience
• ▹Understanding of quantization and precision trade-offs
• ▹Strong collaboration and communication skills

Soft skills

About the company

Hudl builds video and data analysis tools for sports teams, helping coaches and athletes worldwide analyze performance.