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.