Innocorn Technology Limited

Data Scientist / AI Researcher

Innocorn Technology Limited

Job Highlights

The appointee will assist the Project Leaders and Programme Manager in the development of machine-learning-based anomaly detection algorithms and surveillance systems for the construction site. Also, the appointee help to develop NLP algorithms for retrieving data from internet to build the domain knowledge database. 

  • 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.


Qualifications applicant should:

(a) PhD / Master / Degree Holder in Computer Science or related discipline;;

(b) Having background in AI & Machine Learning;

(c) Hands-on skills in Python and familiar with Tensorflow or PyTorch;

(d) Strong communication skills in English (both oral and written)

(e) Interim student with strong interests will be welcome


We offer successful candidate an attractive remuneration package and excellent career prospects. Interested parties please send your resume, present and expected salary to us.

More job information
  • 5-day week
  • Compassionate leave
  • Competitive pay
  • Discretionary bonus
  • Flexible working hours
  • Medical plan
  • Work from home
  • Year-end bonus
Job Function
Work Model
  • Hybrid / WFH
Employment Term
  • Full-time
  • 0 year - 3 years
Career Level
  • Entry level
  • Degree
  • Master's degree