Bachelor Degree in
Software Engineering, Computer Science, or any relevant field
3+ years of experience in QA Automation, MLOps, Software Engineer in Test (SET), or AI/CV Evaluation.
Strong proficiency in Python for test framework development and data processing.
Hands-on experience with Docker containerization and CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
Solid understanding of Machine Learning and Computer Vision evaluation metrics.
Proficient in Linux environments and Bash/Shell scripting.
Strong problem-solving skills with a focus on performance and execution speed.
Nice to Have
Ability to read and understand basic C/C++ code.
Familiarity with video streaming concepts and processing frameworks (e.g., GStreamer).
Prior experience with Edge AI, Smart Cameras, or Embedded Vision systems.