Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc tương tự tại đây:
Mô tả công việc
1. Design and implement state-of-the-art Deep Learning models (Resnet, Faster RCNN, etc.) for Computer Vision and Search Optimization using User Behaviors data.
2. Understand & analyze data sources
3. Collaborate with other developers to designing the integration method
4. Write documents for projects including business objectives, data gathering and processes, lead approaches, final algorithms, detailed set of results and analytical metrics
5. Identify & develop appropriate machine learning/data mining techniques to enable better business outcomes
Yêu cầu
A. Requirements:
- Have advanced degree in Machine Learning/ Computer Science/ Electrical Engineering/ Physics/ Statistics/ Applied Math or other quantitative fields from a reputed university (Ph.D. is a plus)
- Have at least 1 year work experience with Data Science
- Have experience in implementing parallel algorithms using GPU
- Have experience in working with Deep Learning frameworks such as Tensorflow/Pytorch/Caffe
- Plus for having experience in working with AWS or GCP
- Demonstrate ability to lead and execute projects from scratch
- Have solid skills in Python or R
- Possess good English proficiency (especially reading & writing)
- Have customer-focus mindset
B. Benefits package
- Competitive salary (Up to 2000$), lunch allowance, free parking.
- Facilities: Laptop, Screen, Mouse...
- Performance Evaluation & Salary Increasing: 2 times/year
- Environment: young, flexible & fast-growing business that encourages innovation, transparency and idea sharing
- Internal Activities: Code Camp, Code Contest, Company trip (Yearly), Company outing (Quarterly), Clubs (Table tennis, photography, English, Japanese...)
- Annual leave: 12 days/year
- Health checkup (Yearly) and Bao Viet Premium Insurance
Quyền lợi
Up to 2 months year end bonus
Training/Code Contest/Overseas Seminar
Company trip, picnic, Table tennis, soccer club...
Thông tin chung
- Ngày hết hạn: 19/04/2019
- Thu nhập: 1000 - 2000