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ML Engineer

Project Location(s):
Job Type:
Full Time

SNAP INNOVATIONS is looking for full time in ML Engineer to join the SNAP RESEARCH team.

As an ML Engineer, you will:

  • Work daily with machine learning problems. For this purpose, you are expected to be involved in the process of collecting, storing, processing, and analyzing data generated from our database, in addition to joining our data scientists in the design of machine learning models and applied data science software products.
  • Work in a diverse, international setting with teammates who are experts in various topics. We offer training and seminar to improve our individual skill sets, and to improve our workflow as a team.
  • Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.
  • The role is based in Vietnam – Ho Chi Minh office (preferable) or in Singapore office. Onsite opportunities to other offices.

ML Engineer – Job Requirements:

  • Ph.D candidate or Master Degree in Computer Science, Applied Statistics or related technical discipline
  • Detail-oriented, production-oriented, knowledgeable in statistical and predictive modeling concepts, machine learning approaches, data mining, recommendation and optimization algorithms
  • Willing to learn and engage with new domain knowledge in accordance to our business users
  • Being proficient in any of the following languages: R, Python
  • Being familiar with any of the following databases: PostgreSQL, MySQL
  • Knowing Hadoop or Spark is a plus
  • Optional: having knowledge in working with AWS

*We thank you for your interest, however only shortlisted candidates will be contacted.


Snap Innovations is a technology company focusing on areas of Artificial Intelligence, Fintech and Blockchain. We aim to be always at the forefront of technologies and seek to break new grounds all the time. Established in 2011 based on the early research work in Snap Decision Making Model, we extended our work on AI to various areas of Fintech and Blockchain. In terms of coverage, we expand from our head office in Singapore to many international offices.

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