Ho Chi Minh City
Work and discuss with the operation and business teams and other stakeholders at the company to understand the current situation as well as identify what problems or tasks can be automated and solved using AI and data science solutions.
Conduct R&D projects and propose appropriate machine learning methods and techniques to solve the problems effectively and in a flexible way.
Develop software modules on top of open-source machine learning platforms and libraries that are free for commercial use.
Work closely with the data and infrastructure team in order to integrate those modules into the company AI platform for deployment.
Able to lead an R&D team working deeply on a particular area of AI like NLP, IR and search, computer vision, operations research, and recommender systems
2,000 $ - 5,000 $
Candidates must have a bachelor's in IT/CS, graduation in distinction or high distinction. Having a master's or Ph.D. degree in IT/CS overseas.
ML-related skills.: Machine Learning (regression, classification, clustering, etc), Deep Learning, Statistics, Probability, Linear Algebra, Numerical Optimization
Engineering skills: Programming (Python, C++ is a plus), Standard ML Python (sklearn, xgboost, pandas, etc.), Big data (Hadoop, Spark, Airflow, S3, Alluxio), DB (MongoDB, Postgresql, etc.), DL framework (PyTorch, TensorFlow, etc).
Work & Communication: Project management (Confluence, Jira, etc.). Know how to document clearly and to work in a team. Be responsible for the assigned task/code (test, trace, and debug your own code to guarantee the standard). Actively communicate with business partners to clarify the project functionality and scope
Salary range: Up to 5000$ gross
Attractive 13th-month salary and performance bonus
Annual performance review for salary raise and promotion
Premium private insurance (PTI Insurance) with a discount for family members
Annual health check
18 days of annual leave
Company trips and team buildings
Gifts on special accession: individual /company birthday, Tet, and Holidays
Internal activities, sport, and social clubs
Opportunity to training both technical and soft skills to develop your career path