AI Engineer Trainee
Trung tâm Công nghệ Thông tin
Hồ Chí Minh
25-ITC-0238
Mô tả công việc
Joining the AI/ML team to help build solutions that solve real business problems. As a trainee, you will be guided by experienced mentors and collaborate with cross-functional teams. We expect you to build up your AI engineering skills, to be able to start working independently at the end of the program.
- Build GenAI products leveraging LLMs to serve MoMo users;
- Work with a high-performing, creative and collaborative team;
- Work with rich and large-scale datasets, learn techniques to process them efficiently;
- Develop engineering skills, build end-to-end solutions from ideation, exploration to proof-of-concept to production;
- Learn state-of-the-art techniques in depth and how to apply them.
Yêu cầu công việc
- Outstanding Academic
- Background Minimum GPA of 3.0/4.0 or 7.5/10;
- Proficient in English: B2, IELTS 6.0, TOEIC 800, Cambridge C1 (nice to have);
- Less than 2 years of full-time work experience and available to join full-time;
- Cultural Fit
- Proactive, adaptable, and passionate about technology and fintech – key traits for fast growth;
- Ready to embrace MoMo’s mission and core values to drive real impact;
- Leadership Potential
- Entrepreneurial mindset, innovative thinking, and the ability to adapt in a fast-changing environment;
- Strong motivation and long-term commitment to career development, with a clear ambition to grow into a future leadership role;
- Department-specific Requirements
- Good understanding of ML and NLP techniques. Experience with LLMs is a plus;
- Proficient with Python and/or Java, familiar with deep learning and NLP libraries;
- Good communication and teamwork skills – you like to interact with others in a collaborative environment;
- A growth mindset – eager to learn, improve, and take on challenges;
- Experience participating in or winning awards in informatics or programming competitions (e.g., Olympiads, ICPC, hackathons, etc.).
Bạn có hứng thú với vị trí này
hoặc bạn biết một ứng viên phù hợp