Description and Requirements
Key Responsibilities
- Design, develop, and maintain backend services for Sales IT systems using Java and Spring Framework/Spring Boot.
- Build and support microservices (REST APIs, integration patterns, service reliability/observability basics).
- Develop AI/ML-related code in Python, including data preparation, training experimentation, and evaluation.
- Participate in AI projects with hands-on model training experience (e.g., feature engineering or embeddings, training runs, metrics, iteration, reproducibility).
- Integrate trained models into applications (online inference APIs or batch jobs), ensuring performance, stability, and maintainability.
- Work with relational databases and SQL collaborate on data modeling and query/performance considerations.
- Use modern engineering practices and tools (Git, code reviews, testing, CI/CD) to deliver production-quality software.
- Partner with stakeholders to clarify business needs, translate them into technical solutions, and iterate based on feedback.
- Demonstrate ownership: break down ambiguous problems, propose options, and drive tasks to completion with minimal supervision.
Required Qualifications
- 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.
What We're Looking For (Behavioral / Mindset)
- 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.
