Senior Data Engineer

Job Description

Applications are invited for appointment as Senior Data Engineer, to commence as soon as possible for up to two years, with the possibility of renewal subject to satisfactory performance.

The appointee will join the Laboratory of Data Discovery for Health (D24H), a start-up company incorporated by The University of Hong Kong (HKU) that is led by senior faculty members of the Li Ka Shing Faculty of Medicine at HKU, and work in a highly motivated inter-disciplinary team to develop mobile applications, cloud computing solutions or other AI-enabled computational solutions for our multiple healthcare related projects in the R&D team.

About The Project

• To predict the health situation through big data in multiple types such as images and text; and
• To make recommendations of lifestyle for our users based on their personal health conditions.
  
  

Responsibilities

• Design, implement, and test AI algorithms for analysing large healthcare related data, including data in electronic health record, medical images, text data, and sensor data from wearable devices and smartphones (Internet of Things/IoT);
• Develop machine learning pipelines and ensure successful deployment of models;
• Manage all aspects of AI/machine learning engineering such as methodology selection, data collection and quality, modelling and analysis, and performance monitoring;
• Assist in pre-processing image datasets and text datasets;
• Participate in the neural network modification, training and compression;
• Validate and analyse the results of neural networks;
• Collaborate with business stakeholders and senior management to develop the right AI/machine learning methodology to make insightful recommendations; and
• Document all the concepts and methodologies clearly and effectively to both technical and non-technical stakeholders.
  
  

Requirements

• Doctoral Degree in Computer Science, Electronic Engineering, Information Engineering or other related disciplines with not less than 3 years of relevant working experience in neural network projects for machine learning tasks, or
• Master’s Degree in the aforementioned disciplines with not less than 8 years of relevant working experience, among which at least 3 years should be in neural network projects for machine learning tasks.
  
  

Other Requirements

• Competent in computer programming for AI/machine learning (e.g. SVM, random forest) and data mining;
• Experience with ETL development or big data technologies, or data transformation, modelling, data storage systems (including non-functional design) and the corresponding integration patterns;
• Proficiency in the following technology stacks:
• Programming: Python/R/C/C++
• Machine learning framework: TensorFlow, Keras, Caffe and PyTorch, etc.
• Big data technologies: Apache, MongoDB, Redshift, Glue, BigQuery, SQL, Tableau, etc.
• Experience in cloud computing platforms such as AWS, Azure, GCP or Alibaba Cloud is a plus
• Experience in the following is desirable:
• Greenfield projects
• Mobile application development, cross compilation and/or IoT technology
• Large language models (e.g., GPT-3 or Alpaca) pre-training and prompt engineering techniques application to address NLP tasks (e.g., sentiment analysis, misinformation detection, and named entity recognition)
• Prior product development and deployment experiences for Mainland China and global projects;
• Strong communication skills and proven experience in collaborating with software developers; and
• Self-motivated, organised, and be able to work effectively in an interdisciplinary team.
  
  

A highly competitive salary commensurate with qualifications and experience will be offered. Applicants should apply and attach an application letter and a detailed resume stating the current and expected salary. Shortlisted candidates will be invited to attend a written test and an interview.

The personal data provided in your application process will be used for recruitment and other employment-related purposed, and may be transferred and disclosed to, and used by HKU Innovation Holdings Limited and The University of Hong Kong for the above purposes.

We are an equal opportunities employer and welcome applications from all qualified candidates.