Machine Learning Engineer - 03M

TransPerfect
Singapore
SGD 125,000 - 150,000
Job description

DataForce by TransPerfect is looking for a highly motivated Machine Learning Engineer to join our onsite team on a fixed-term assignment in Singapore for an exciting new AI project!

Role Summary

As a Machine Learning Engineer, your responsibilities include working with language data and creating, categorizing, auditing, and improving lexical data. To do this job successfully, you need solid programming skills and language fluency in Malay.

You will be part of an onsite team with diverse skills and backgrounds, who will help brainstorm and find innovative solutions to complex issues.

Main responsibilities:

  1. Work with language data and create, categorize, audit, and improve lexical data
  2. Develop natural language processing code specific to Malay language
  3. Provide input and suggestions in finding new approaches and new product features tailored to home market
  4. Find innovative solutions to complex issues
  5. Automate and integrate workflows from diverse systems
  6. Daily interactions with other teams working towards the same goal

Minimum Requirements:

  1. Familiar with programming languages (Python, Shell, Java, or Swift)
  2. 1+ years of work or internship software engineering/development experience in diverse technical areas
  3. Proficiency in Malay language is required since you will work with Malay content (read and process documents, analyze and label data in Malay language)
  4. Data processing skills and knowledge
  5. Experience with one or more version control systems with a preference for Git
  6. Familiar with regular expressions
  7. Basic team collaboration skills (email, messaging, calendar, etc.)
  8. Full-time onsite position

Education:

  1. B.S/MSc in Computer Science, Electrical Engineering, or related fields

Preferred Requirements:

  1. Experience in natural language processing (NLP), machine learning, or related sub-fields is a plus
  2. iOS or Mac OS X development skills preferred if any
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