- Build systems processing images and videos, applying Deep Learning in images segmentation, object detection, classification and face recognition, content analysis,
- Build analytical systems for processing audio, speech to text.
- Creatively research to find optimal solutions in new projects. Freedom to explore and use the latest algorithms and technologies.
- Deploy the Deep Learning system to different production environments (Cloud server (AWS, GCloud, Azure), Mobile)
Your Skills and Experience:
- Have 2 years experience in AI/ Deep Learning/Machine Learning/Computer Vision
- Have experiences with Python’s threading, multiprocessing and asyncio libraries
- Have experience working with distributed, micro-service system
- Excellent in Python programming language
- Understand and proficiently use basic 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. Have done at least 1 complete project on Deep Learning.
- Discuss and give the best solutions when deploying to production environments.
- Familiar with at least one Python RESTful framework, e.g. FastAPI
- Familiar with Kafka, Redis and being able to work with them in Python is a strong advantage.
- Able to communicate basically in English
- Able to work with MLOps for ML systems (Triton is preferred)
- Salary: Attractive salary and bonus based on performance.
- Work on most innovative challenging products for the US and Vietnam.
- Salary review 2 times/year
- 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
SETA International Viet Nam
Add: HL Tower, 82 Duy Tan, Ha Noi
Skype: Ms Ngoc: live:f68ef2ffd797236d, Ms. Nhung: live:.cid.2379466ef237dee2