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.
Skills
Functions
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Company
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