QA Engineer
Core
Designing and optimizing automated testing frameworks for AI model core engines, benchmarking models, and defining complex data scenarios to predict model performance impact.
Role type
Senior IC QA Engineer (AI/ML Model Testing)
Builds
Scalable automated testing frameworks, regression suites, and performance profiling pipelines for cloud-connected and embedded AI components.
Domain
Artificial Intelligence / Machine Learning / Computer Vision / IoT
Deliverable
production ML models
Required skills
Python, C++, JavaScript, AI/ML lifecycle knowledge, Computer Vision fundamentals, Cloud platforms (AWS/Azure/GCP), IoT/Robotics environments
Preferred skills
Test framework architecture from scratch, Scrum/Agile, LLM/AI coding assistants, ML metrics analysis (mAP, Precision/Recall, F1-score), CI/CD toolchains (Jenkins, GitLab CI, GitHub Actions)
Technologies
Python, C++, JavaScript, AWS, Azure, GCP, Git, Jira, TestRail, Jenkins, GitLab CI, GitHub Actions
Responsibilities
Design and optimize scalable automated testing frameworks for core engines; Architect comprehensive data strategies for stress-testing ML model robustness; Evaluate model outputs and quantify systemic risks; Integrate automated validation gates into CI/CD pipelines; Collaborate with Data and Dev teams to triage defects and refine model training requirements.
Seniority
Senior, hands-on IC
