Salary & Location
Salary negotiable
(Regular monthly salary of NT$40,000 or above)
台北市大安區
Required
Work Experience
2年以上
Job Description
We are seeking a highly skilled ML Engineer - Model Training Infrastructure to join our team and contribute to AI infrastructure projects. The ideal candidate will have a strong foundation in ML model training and operation knowledge.
Responsibilities:
- Select and implement appropriate machine learning frameworks (e.g., PyTorch, TensorFlow) for model training evaluation in the cloud environment.
- Train machine learning models using state-of-the-art techniques.
- Leverage open-source machine learning models (e.g.,Llama 3) to evaluate model training performance.
- Optimize model training processes for efficiency and scalability.
- Collaborate with cloud engineers to integrate trained models into production applications.
- Monitor and maintain model performance in production environments.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Strong understanding of machine learning algorithms and techniques, including deep learning.
- Proficiency in machine learning frameworks such as PyTorch or TensorFlow.
- Knowledge of open-source machine learning models and their applications.
- Experience with the machine learning model training process, including data preparation, feature engineering, and hyperparameter tuning.
- Ability to write clean, efficient, and well-documented code in Python, Java or other languages.
- Excellent problem-solving and analytical skills.
Number of Openings
1~1人
Educational Requirements
大學(學院)以上
Work Schedule
日班
Leave Policy
週休二日
Job Category
Software Engineer
Cloud Engineer
