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QA Engineer Python, Automation, AI, ML

Motorola Solutions · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Thành phố Thủ Đức, Hồ Chí Minh, Hồ Chí Minh

Overview

  • 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

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.
  • 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

Benefits

BonusTraining

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