Junior AI Engineer (NLP)
Recruitment Team
•
1 year, 1 month ago
Job Descriptions
You will work with our engineering team and support the development and implementation of AI solutions (NLP) in our company with good understanding of AI technology.
Requirements
| 1. | Good technical skills Machine Learning and Deep Learning Strong understanding of concepts and the application of machine learning and deep learning algorithms to solve various problems. |
| 2. | Familiarity with AI Frameworks (TensorFlow/PyTorch) Proficient in using major tools like TensorFlow or PyTorch to build and train AI models efficiently. |
| 3. | Good communication skills Ability to clearly explain technical ideas and results to both team members and non-technical stakeholders. |
| 4. | Attention to detail Careful in performing tasks, especially in AI model development and implementation, to avoid small errors that could impact results. |
| 5. | Willingness to learn Open to continuously learning new technologies and methodologies to stay up-to-date with the rapid advancements in AI. |
Key Responsibilities
| 1. | Familiar with SOTA language models such as GPT, CLIP, and Llama: Knowledgeable about using cutting-edge language models (State of the Art) like GPT, CLIP, and Llama for natural language processing tasks. |
| 2. | Able to identify problems and develop effective solutions: Capable of recognizing existing problems and developing efficient, effective solutions using AI or other approaches. |
| 3. | Able to work collaboratively with other team members: Able to work productively in a team and contribute toward achieving shared goals. |
How to Apply
| 1. | The first step is to prepare your best CV & portfolio according to the position you choose. |
| 2. | Submit your CV & Portfolio via the application form we provide. |
| 3. | Make sure all data and information is filled with the correct data. |
| 4. | Double-check before pressing the "Send" button. |
| 5. | Candidates who pass the interview stage will be contacted via email gradually. |
