Your Responsibilities:
- Build systems processing images and videos, applying Deep Learning in image segmentation, object detection, classification, face recognition, and content analysis.
- Build analytical systems for processing audio, including speech-to-text.
- Research and apply Large Language Models (LLMs) for tasks such as natural language understanding, text generation, summarization, and conversational AI.
- Apply advanced Computer Vision techniques to solve real-world challenges and optimize existing AI models.
- Creatively research to find optimal solutions in new projects. Freedom to explore and use the latest algorithms and technologies.
- Deploy Deep Learning and LLM-based systems to different production environments (Cloud servers (AWS, GCP, Azure), Mobile, On-premises).
Your Skills and Experience:
- At least 1.5 years of experience in AI/Deep Learning/Machine Learning/Computer Vision.
- Strong understanding and practical experience with LLMs (e.g., GPT, LLaMA, Falcon, etc.), including fine-tuning and prompt engineering.
- Experience with Python&aposs threading, multiprocessing, and asyncio libraries.
- Experience working with distributed, micro-service systems.
- Excellent in Python programming language.
- Understanding and proficient use of core Deep Learning algorithms such as: Swin Transformer, CNN, YOLO, RPN, RNN, LSTM.
- Able to use at least one of the two frameworks TensorFlow and PyTorch. Completed at least one end-to-end project in Deep Learning or LLM.
- Able to discuss and provide the best solutions when deploying AI systems into production environments.
- Familiar with at least one Python RESTful framework (e.g., FastAPI) is a plus
- Familiar with Kafka, Redis, and able to integrate them in Python is a strong advantage.
- Good at communication skills in English.
Your Benefits:
- Salary:Attractive salary and bonus based on performance.
- Full benefits for employees according to the Vietnam Labor Laws: social and health insurance
- An international, professional, young but innovative, knowledge-shared environment that works closely with international experts and joins conferences and workshops on exciting new technologies.
- Holidays based on Vietnamese labor law + paid vacations
- Opportunity to onsite in the US
- Company trip, Team Building
Contact:
SETA International Viet Nam
Add: HL Tower, 82 Duy Tan, Ha Noi
Email: [Confidential Information]
Website:https://www.seta-international.com/
Fanpage:https://www.facebook.com/SETA.International.careers/
