Data Modelling Specialist

3 days ago


Singapore MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Full time
About the Role

We are seeking a skilled Data Labelling Engineer to join our team at Manpower Staffing Services (Singapore) Pte Ltd.

Job Summary

This is an exciting opportunity for a detail-oriented individual with expertise in data classification and taxonomy methods to support our business growth.

Key Responsibilities
  • Support the development of accurate data classification standards and improve algorithm recognition and machine learning ability by analyzing data samples and providing suggestions for improvement.
  • Participate in discussions on algorithm model improvement solutions and contribute to the design of functional optimizations for the annotation platform.
  • Collaborate with the team to enhance the data annotation operation process, optimize label sampling and review mechanisms, and improve data quality.
Requirements
  • Bachelor's degree in Computer Science or a related field with a minimum of 2 years of research and development experience in testing, data analysis, or database administration.
  • Familiarity with various data types and excellent communication and analytical skills to quickly understand business requirements and classify data samples accurately.
  • Ability to work effectively in repetitive tasks with minimal errors and possess knowledge of data modelling, artificial intelligence, and machine learning principles.
Preferred Skills
  • Mastery of data management concepts, including data warehousing, databases, and SQL.
  • Proficiency in big data technologies and data mining techniques.
  • Strong understanding of machine learning algorithms and their applications in real-world scenarios.
What We Offer
  • An estimated salary of SGD $60,000 - SGD $80,000 per annum, commensurate with experience.
  • A competitive benefits package, including medical insurance and paid time off.
  • The opportunity to work with a dynamic team and contribute to the growth of our organization.


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