AI Engineer

- You will be responsible for end-to-end AI deployment of the product the Company is currently building.
- You will work closely with the Software Developer team to understand their requirements and build a model accordingly.
- Other relevant tasks assigned by line managers.

- Based salary: Negotiation
- Allowances
Insurance support: 100 USD/month. Applied after the probation.
Work-from-home allowance: 50 USD/month. Applied after the probation.
- Bonuses and gifts:
Birthday gift.
Holiday gifts.
Year-end party.
Company anniversary party.
Performance bonus at the end of the year (cash).
All-hands Company Trip each year.
- Leaves:
Public holidays. Take time off and spend it with your family during your country’s public national/regional/state holidays.
Annual leave: 12 days/year and to be pro-rata rated for the actual monthly working period for full-time staff. Applied after the probation.
Sick leave with pay: maximum 6 days/year, on top of the 12-day annual leave credit, for full-time staff. Applied after the probation.
Period leave: 1 day each month for female employees.
Personal leave policy for special cases.
- Training and recognition
Employee Stock Option Plan (ESOP) can be applied after a (1) year working contribution, depending on the Company’s business results and the individual’s performance.
Salary review after 6 months or 1 year working at the company.
Performance recognition and promotion opportunities for consistently good performance.
Other internal training programs.
Working environment
Fully remote
Flexible working hours, divide your working time within a day and week to work then enjoy your work-life balance style.
Startup working environment with young and talented people across the globe.
The opportunity to meet and work with global professionals around the world to expand your network.

Education & Experiences
- Bachelor’s degree in Computer Science/Information Technology; Electrical/Telecommunication or related Engineering fields, Mathematics;
- At least 05-year working experience in real projects of one or more areas below: Computer Vision; Time-Series Data Analytics; Natural Language Processing; Speech Recognition; Optimization
Knowledge & Skills
- Solid background knowledge in Maths (such as Linear Algebra, Probability & Statistics, and Optimization);
- Having practical knowledge in one of the areas: machine learning, deep learning, data science, and optimization (Familiar with the latest Deep Learning techniques is preferred);
- Good at one of programming languages: Python, C++, Java (Python is most preferred);
- Good at one of Deep Learning frameworks: TensorFlow/Keras or PyTorch and Python libraries (for example, sci-kit-learn, NumPy, scipty, pandas, matplotlib, OpenCV);
- Ability to read and implement research papers quickly and apply ideas to related problems;
- Strong analytical skills and mindset;
- Good at writing technical reports and presentations of technical problems (in English);
- Good at English (reading and writing skills);
- Other attitude characteristics: proactive, responsible, can-do, and get-thing-done.