- Developing Deep Learning components for both training and inference stages;
- Developing tools to generate and manage big training datasets for different Deep Learning models;
- Developing computer vision algorithms for Deep Learning data pre-processing and post-processing.
Required Skills and Experience:
- Must have:
- Good knowledge in Linear algebra, combinatory, logic, statistics, analytics;
- Experience with Python and/or C/C++ programming, data structure and algorithm;
- Ability to research, problem solving, presentation, visualization;
- Excellent understanding of Linux programming and debugging;
- Knowledge about data mining, Machine Learning, Deep Learning.
- Nice to have:
- Familiar with state-of-the-art DNN/CNN architectures;
- Experience with at least one Object Detection algorithm;
- Experience with at least one Machine Learning framework;
- Experience with performance profiling, characterization and optimization.
Join us, you will get:
- Training and Personal development
- Dynamic working environment, training and career growth opportunities;
- Knowledge-share environment work closely with experienced experts;
- Having many opportunities for professional and personal growth;
- Experienced new technologies, attractive projects with customers in the English and Japanese market;
- Join conferences and workshops on exciting new technologies.
- Effectiveness bonus based on project and performance;
- Salary review up to 2 times a year;
- 13th month salary bonus.
- Other Benefits
- Working 5 days per week, from Monday to Friday. Weekly days-off: Saturday and Sunday;
- Taking part in the social activities and receiving welfare by company regulation;
- Social insurance, health care, jobless insurance in accordance with Labor law;
- Premium healthcare insurance package including health and accident insurance.
- Submit your profile to firstname.lastname@example.org with email subject format as follows: [AI]Candidate’s name_Date, Eg: [AI] NguyenVanA_2018.04.20
- Deadline: 30/05/2018
- Priority test and interview for earlier applications.
- Only contact with the candidates who meet our requirements.