Career

Job Descriptions:

• • Create, develop and maintain big data pipeline for the cloud data platform;
  • Apply big data analytic technologies to develop cloud native analytic algorithm for structured data, unstructured data, time series data and other IoT applications;
  • Conduct research on state-of-the-art technologies to solve business problems;
  • Working with our domain expert to develop unique AI algorithm for smart building and smart city applications;
  • Collaborate with academic, industry partners and customers to drive innovative and forward-looking AI technologies;
  • Research latest technologies and techniques of big data sources / deep learning and Machine Learning techniques;
  • Work with developers and application analysts within the team to deliver results to the clients in easy-to-understand format.

Requirements:

• • PhD / Master / Degree Holder in Computer Science or related discipline;
  • Experience in applying data analytics, data mining and machine learning;
  • Hands-on skills in Python and familiar with Tensorflow or PyTorch;
  • Experience in big data technologies, e.g. Spark, Hadoop, Flink and Kafka;
  • Experience in applying AI and big data in production environment will be an advantage;
  • Experience in IoT streaming and Time Series data applications will be an advantage;
  • Experience in cloud native application and AWS environment will be an advantage;
  • Experience in MLOps and DevOps will be an advantage;
  • Able to work independently coupled with strong interpersonal skills;
  • Proficiency in both written and spoken English and Chinese;
  • Interim student with strong interests will be welcome.