QA Engineer - Python Automation AI/ML

Top 3 Reasons To Join Us The Job 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. #R64005 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