QA Automation Engineer (MLOps)
Core
Design automated evaluation infrastructure and benchmark Computer Vision model performance for the core Video Analytics Engine.
Role type
Senior IC QA Automation Engineer (MLOps)
Builds
Automated evaluation pipelines and CI/CD integration for AI/CV models
Domain
Computer Vision, Video Analytics, MLOps
Deliverable
production ML models
Required skills
Python, CI/CD tools, Docker, Linux/Bash, Machine Learning evaluation metrics, Computer Vision metrics
Preferred skills
C/C++ code reading, video streaming frameworks, Edge AI, Smart Cameras, Embedded Vision
Technologies
Python, Jenkins, GitLab CI, GitHub Actions, Docker, Linux, Bash
Responsibilities
Build and optimize automated evaluation pipelines for AI/CV models; Develop Python automation test suites integrated into CI/CD; Measure and report model accuracy and system performance metrics; Manage and curate golden datasets for regression and stress testing; Collaborate with R&D and Architecture teams to identify pipeline bottlenecks.
Seniority
Senior, hands-on IC
