Python - AI Engineer

Descripción del puesto:

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