岗位职责:

1. The role is part of HASE Data & Analytics team in Guangzhou and is responsible for the data application and provision of analytical deliverables.
2. Design, develop, and maintain high-quality, scalable, and secure web and mobile applications.
3. Collaborate with cross-functional teams, including product managers, designers, and other engineers, to gather requirements and deliver high-performing solutions.
4. Create responsive web designs and ensure seamless user experiences across multiple devices and platforms. Develop and maintain server-side applications and APIs to support front-end functionality.
5. Optimize application performance and security through efficient coding practices and thorough testing. Stay up to date with industry trends and emerging technologies, and propose innovative solutions to enhance our products.
6. Troubleshoot and debug issues and provide timely resolutions to maintain system stability.
7. Be responsible for managing the end-to-end business insights analytics and machine learning model lifecycle, starting from mining business opportunities based on analytic-driven insight mining, drafting business case and solution proposals, to leading the machine learning model experimental training, validation, finetuning and model governance documentation.
8. Own the technical solution design and implementation for the responsible AI / ethical bias testing with the lead of model governance in the team.
9. Work closely with business stakeholders to review the as-is business operation model and identify potential opportunities for optimization using Machine Learning or AI.

1. Bachelor’s degree in computer science, Software Engineering, or a related field. 5+ years of working experience in both hands-on machine learning model development and scaled enterprise analytics project management.
2. Proven programing skills for Machine Learning model training, evaluation, and fine tuning, in Python-based Machine Learning and Deep Learning framework. Proficient in building quick prototype of Machine Learning based application with front-end and backend, in Python or Java.
3. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks/libraries like React or Angular. Solid understanding of back-end technologies, including server-side languages like Node.js or Python, and experience with frameworks like Express or Django.
4. Working experience in consulting firm serving enterprise client on AI & Machine Learning innovation initiative is preferred. In-depth understanding and experienced in most commonly used Machine Learning algorithms and Data Science/Analytics methods.
5. Good understanding of DevOps, DataOps or MLOps. Cloud-native data ETL development is preferred.
6. Technology stack provisioned in the team include:
DataProc + Spark + Python on Google Cloud
Airflow DAG for scheduling
PyCharm / Visual Studio / IntelliJ as IDE for application development
Jenkins / Terraform for deployment automation
Java / Python packages and deep learning framework
Multiple databases including PostgreSQL, BigQuery, graph databases, etc.

福利待遇
- 具竞争力的薪酬：基本工资+绩效奖金+轮班补贴+早晚班交通津贴；
- 健全福利保障：五险一金+补充性商业医疗保险+免费年度体检；
- 畅享10+天假期：除享有国家法定节假日外，还拥有至少10天带薪年假、12天带薪病假、1天生日假、婚假、产检假、产假以及陪产假、哺乳假等，助您达到工作生活的平衡；
- 弹性福利制度：年假可买卖，商业医疗保险套餐可升级，您还可申请旅游补贴、个人进修补助、运动健身补贴等，满足个性化福利需求；
- 人性化工作环境：使用公司的员工餐厅、咖啡室、休息室、娱乐室等，进行劳逸结合；
- 多元化员工活动：运动会、团建、年会等精彩活动给您平台，任您施展才华。

培训与发展
- 广阔的职业发展平台：遍及全球的集团网络，提供扩展人脉及跨文化交流的机会，您还可申请不同国家及地区的长短期职位，不断挑战自我；
- 系统性人才培育及发展：配备职业导师，为您提供清晰的职业规划指导，充分挖掘横向及纵向的发展潜力；
- 完善的专业培训体系：入职即可享带薪培训，多元化的培训机会，还有资源及教育援助，帮您逐步实现职业目标。