Position Summary

Role and Responsibilities

• Research, design and apply machine learning for auto defect analysis and issues detection.
• Improve auto ecosystem with intelligent auto testing solution.
• Data analysis and find out the issue, analyze production defect in real market.
• Ensures completion of all documentation required for production introduction.
• Use GitHub for source code repository and Jira for task tracking.

Skills and Qualifications

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of experience with Python, SQL/NoSQL, Linux, Docker, AI
• Good in English communication for working.
• Ability to work on multiple tasks concurrently.
• Self-motivated with a strong desire to learn.
• Solid decision-making skills and judgment – can be depended upon to meet goals, foresee and avert problems.
• Python programming experience.
• Solid scripting skills (i.e., shell scripts, Python).
• Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch.
• Thorough understanding of NLP techniques for text representation and modeling
• Strong understanding SLQ/NoSQL, Docker.
• Familiar with graph, data display & analysis.

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