台中市西屯區經歷不拘學歷不拘月薪45,000~52,000元
We are seeking an experienced AI Application Engineer to join our team. The ideal candidate will be skilled in fine-tuning existing models, organizing data, and evaluating the effectiveness of AI applications. The candidate should have a solid foundation in machine learning and be proficient in various AI and data processing tools.
Responsibilities:
1. Model Fine-Tuning:
• Fine-tune pre-trained models to meet specific application requirements.
• Implement transfer learning techniques to adapt models to new tasks.
2. Data Management:
• Collect, clean, and organize large datasets for training and evaluation.
• Perform data augmentation and preprocessing to improve model performance.
3. Evaluation and Analysis:
• Develop metrics and evaluation protocols to assess AI application performance.
• Conduct experiments and perform statistical analysis to validate model effectiveness.
4. Deployment and Maintenance:
• Deploy AI models into production environments.
• Monitor model performance and update models as necessary.
5. Collaboration and Reporting:
• Work closely with data scientists, software engineers, and other stakeholders.
• Prepare detailed reports and presentations on model performance and project progress.
Qualifications:
1. Education:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A Ph.D. is a plus.
2. Technical Skills:
• Proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, scikit-learn, and Keras.
• Familiarity with data manipulation tools such as pandas and NumPy.
3. Experience:
• Proven experience in fine-tuning and deploying machine learning models.
• Hands-on experience with data preprocessing and augmentation.
• Experience in developing and using metrics for model evaluation.
4. Soft Skills:
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage multiple tasks effectively.
5. Additional Skills:
• Knowledge of cloud platforms like AWS, Google Cloud, or Azure is desirable.
• Experience with version control systems like Git.
• Familiarity with containerization tools such as Docker and Kubernetes is a plus.
Preferred Qualifications:
1.Experience in a specific industry (e.g., healthcare, finance, retail) is advantageous.
2.Publications or contributions to the AI community are a plus.
Note:
1. Ability to access resource and knowledge in English is extremely essential for the position; as a result, this will be one of the major considerations to the position.
2. An English test will be provided in the interview.
3. [IMPORTANT condition to receive our reply] When the candidate apply the job position, please provide us your summary (both in English and Chinese) of this job description and what you meet the qualifications as well as why you would perform well to the responsibilities, which would be a key factor for the our preliminary assessment for you and the evaluation of the following interview arrangement.
4. Due to the project requirement, the ability to written Chinese is necessary for this job.