Job Description
Participate in daily team meetings and report on task progress.
Able to work on API integration and basic backend features.
Learn how to integrate AI/ML models into applications.
Assist in troubleshooting bugs and testing new features.
Support the development team in building and maintaining Python applications.
Report to the Team leader and Project manager.
Help prepare and process datasets for training machine learning models.
Assist in creating data processing scripts and simple automation tasks.
Stay up to date with Python trends, tools, and best practices.
Job Requirement
Able to work with databases (SQL or NoSQL).
Good problem‑solving skills and willingness to learn from feedback.
Understanding of object‑oriented programming and basic data structures.
Bachelor’s degree in Computer Science, Software Engineering, IT, or currently in the final year of study.
Able to work in a team and communicate effectively.
Basic knowledge of Python and libraries like NumPy and Pandas (academic or self‑study projects accepted).
Interest in AI/ML, cloud platforms (AWS/Azure/GCP), and modern development tools.
Self‑motivated, responsible, and eager to take on new challenges.
Why Join Us
Employee gifts for special occasions such as celebrations and birthdays
The total contribution to social insurance is based on the Net salary
Monthly parties
14 days of annual leave
Attractive salary commensurate with your expected salary and working experience
Full pay during the probation period
Yearly company trip
Premium healthcare (PTI)
Company bonus
Annual health check- ups
13th- month salary
Quarterly team outing budget
Working time:
Ho Chi Minh office (08:30 AM – 05:30 PM)
From Monday to Friday
Can Tho office: (08:00 AM – 05:00 PM)
Company Address
Ho Chi Minh Office:
Unit B1- B3- B4, 16th Floor, International Plaza Building
343, Pham Ngu Lao Street, Pham Ngu Lao Ward, District 1, Ho Chi Minh City
Can Tho Office:
1st Floor, STS Tower, No. 11B, Hoa Binh Avenue, Tan An Ward, Ninh Kieu District, Can Tho City
**If you are suitable for this role, we will contact you to schedule the interview within the next 7 working days.
