REQUIREMENT

Bachelor’s degree in Computer Science or a related field (or equivalent experience). Graduates from top-tier universities or those holding a Master’s degree are preferred. Solid programming skills in Java and Python. Familiarity with Spring Framework (Spring Boot preferred). Understanding of microservices architecture and API development. Hands-on experience with at least one ML/DL framework, e.g. PyTorch, TensorFlow, or scikit-learn Real project experience in AI training (internship, academic, or industry), including training and evaluation of models. Working knowledge of relational databases (e.g., PostgreSQL/MySQL/Oracle) and SQL. Proficiency with common development tools and workflows (Git, debugging, build tools, testing). Strong self-motivation and collaboration skills. Preferred Qualifications (Nice to Have) Experience deploying AI models to production (batch/streaming/online inference) and basic MLOps concepts. Familiarity with containers and cloud (Docker/Kubernetes; AWS/Azure/GCP). Experience with distributed systems, messaging, or caching (Kafka/RabbitMQ/Redis, etc.). Ability to speak Chinese (Mandarin) is a plus. Ownership & self-directed execution: able to work independently, manage priorities, and communicate progress/risks clearly. Product mindset: understands “why” behind requirements, cares about user/business impact, and can propose improvements instead of only implementing tickets. Ideas & curiosity: brings viewpoints, experiments responsibly, and continuously learns new AI and engineering practices. Team collaboration: works effectively in a global team and contributes to a healthy engineering culture.

DETAIL LOWONGAN

• Umur -
• Min GPA -
• Min. Qualification S1/D4
• Min Experience Staff