Bravestars Games ★ 2.3

• Build and deploy quickly scalable AI/ML systems
• Drive strong model performance through impactful ideas and innovative initiatives.
• Deep dive into data to explore meaningful insights and actionable patterns.
• Promote good coding practices, rigor and good work ethics, ensuring data privacy.
• Develop a rich understanding of the mobile gaming industry, our products, and how they support daily business operations.
• Collaborate with departments across the company to leverage new ideas and perspectives to achieve shared goals.
• Be a team player by supporting your teammates and sharing your knowledge or new discoveries with them.

• 3+ years of work experience in Data Science, Machine Learning or relevant fields.
• Strong experience building and deploying ML systems
• Strong experience with MLOps, Python and SQL best practices.
• Airflow and DBT experience is a nice to have.
• Cloud experience needed. (GCP is preferred)
• Achievements on Kaggle is nice to have
• You enjoy working in a team, researching new practices and sharing knowledge

Compensation & Benefits

• Salary: Upto 35M.
• Guaranteed 13th-month salary.
• Profit-sharing bonus based on business performance and individual performance (total annual income up to 14–20 months’ salary).
• Holiday & festive bonuses: Cash or in-kind rewards depending on each occasion.
• Healthcare benefits: PVI health insurance upon official employment and annual health check-ups.
• Work equipment: Fully provided tools and equipment to support work.
• Engagement activities: Company trips twice a year with travel support for family members; quarterly team bonding activities, annual team building, and various internal events.

Learning & Career Development

• Annual salary review based on performance and individual capability.
• Clear career development path with transparent promotion opportunities.
• Diverse learning platforms: Access to LinkedIn Learning, Coursera, and more.
• Annual training budget: VND 5–15 million per person per year to support professional and skill development.

Working Environment

• Modern office space of over 1,000m², including common areas, meeting rooms, workspaces, and a well-equipped pantry.
• A young, dynamic, and collaborative working environment that values teamwork and proactiveness.
• Working hours: 8:00 AM – 5:30 PM, Monday to Friday.