QA Engineer (Python, Automation, AI, ML)

Job description

We are seeking a diligent and detail-oriented QA Engineer to join our R&D team. The successful candidate will be responsible for ensuring the quality and reliability of our model and core engines. You will play a key role in building testing infrastructure, benchmarking models, and defining complex data scenarios to predict how model performance impacts the final product.

Key Responsibilities:

• Test Automation Architecture: Design, develop, and optimize scalable automated testing frameworks for core engines. Focus on streamlining model benchmarking, regression suites, and performance profiling.
• Data Engineering for QA: Architect comprehensive data strategies. Define and synthesize complex data contexts and edge-case scenarios required to stress-test ML model robustness.
• End-to-End Risk Analysis: Evaluate model outputs through a product lens. Predict systemic risks and quantify how model variance impacts the final user experience post-integration.
• CI/CD Integration: Seamlessly integrate automated validation gates into the CI/CD pipeline to ensure continuous quality delivery for cloud-connected and embedded components.
• Cross-functional Collaboration: Work closely with Data and Dev teams to triage defects, analyze root causes, and refine model training requirements based on QA insights.

Your skills and experience

Technical Requirements:

• Experience: Minimum 3 years in Software Quality Engineering or Backend Development, with a focus on automation.
• Education: Bachelor’s degree in Computer Science, Machine Engineering, or a related technical field.
• Programming Mastery: Proficient in Python (for automation & ML scripting) and C++ or JavaScript (for engine-level or web-integrated testing).
• Domain Expertise: Solid understanding of AI/ML lifecycles and Computer Vision fundamentals.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and IoT/Robotics environments.

Preferred Qualifications:

• Proactive Problem Solving: Proven track record of architecting test frameworks from scratch.
• Agile Proficiency: Experience in Scrum/Agile environments with a focus on rapid iteration.
• AI-Driven Productivity: Experience leveraging LLMs or AI-based coding assistants to accelerate test script generation and data synthesis.
• Communication: Ability to translate complex technical risks into actionable insights for non-technical stakeholders.
• ML Analytics: Ability to calculate and interpret core metrics (mAP, Precision/Recall, F1-score, etc.) to assess model performance beyond simple "pass/fail" results.
• Toolchain: Proficiency with Git, Jira, TestRail, and modern CI/CD tools (Jenkins, GitLab CI, or GitHub Actions).
• Ability to communicate verbally and written in English language.

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Why you'll love working here

• Compensation & bonus: 13th & 14th salary, AIP bonus, Holidays, Tet, and Long year service …
• Social insurance, Health insurance, Unemployment insurance: by Social Insurance and Labor Law
• The regime of annual leave, company trip, and checkup examination
• Award for marriage, newborn
• We have AON insurance package for employee, spouse, and children every year
• You will be trained, learned & work with the best technical managers who help you improve various dev skills & career path
• You’ll love working in our dynamic environment employees, young & active
• We love sport activities, as marathon, football, swimming,...
• Working time: From Monday to Friday | 08:30-12:00 & 13:00-17.30