
QA Automation Engineer (MLOps)
Motorola Solutions1 month ago
Ho Chi Minh City, VietnamSenior
Responsibilities
- Build, maintain, and optimize automated evaluation pipelines for AI/CV models and video analytics libraries.
- Develop Python automation test suites and integrate evaluation workflows into CI/CD pipelines for pull request testing.
- Measure and report model accuracy metrics including mAP, Precision, Recall, and IoU.
- Measure system performance metrics including FPS, latency, and CPU, GPU, and memory utilization.
- Manage and curate golden datasets and annotation standards for regression, performance, and stress testing.
- Collaborate with engineering and architecture teams to identify bottlenecks, isolate root causes, and improve release pipelines.
Requirements
- Bachelor’s or master’s degree in Software Engineering, Computer Science, Machine Learning, or a relevant field.
- At least 3 years of experience in QA automation, MLOps, Software Engineer in Test, or AI/CV evaluation.
- Strong Python proficiency for test framework development and data processing.
- Hands-on experience with Docker and CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
- Understanding of machine learning and computer vision evaluation metrics.
- Proficiency in Linux environments and Bash or Shell scripting.
- Strong problem-solving skills focused on performance and execution speed.
- Ability to read and understand basic C/C++ code is preferred.
- Familiarity with video streaming concepts and processing frameworks such as GStreamer is preferred.
- Experience with Edge AI, smart cameras, or embedded vision systems is preferred.
Benefits
- No travel is required.
- No relocation is provided.
- The position is onsite.
- The position is classified as experienced.
About Motorola Solutions
Motorola Solutions builds mission‑critical communications, video security and access control, body‑worn cameras, and command‑center software for public safety agencies and enterprises. It sells radios and LMR/P25 systems, cloud software, and managed services used by police, fire, and critical infrastructure operators. Headquartered in Chicago and publicly traded on the NYSE (MSI), the company was formed in 2011 after Motorola’s split and operates globally.