Job description

We are a subsidiary of Muangthai Group Holding, with a mindset of a technology start-up. We are looking to innovate and transform various industries with the power of AI and machine learning with the mission to make AI accessible to all businesses. If you are self-motivated, passionate about how AI and technology can improve people’s lives, join us to be part of the growth story.

  • Mine and analyze data from company healthcare/insurance related databases to show valuable insights for our customers.
  • Develop predictive models and algorithms for customers to take action.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Create eye-pleasing visualization of your data insights.
  • Work with other machine learning engineers and technical team to build CI/CD pipeline and launch your models and algorithms live.


  • Minimum of Bachelor’s degree in Computer Engineering, Computer Science or related field.
  • 3-5 years full-time work experience.
  • More than 2 years of experience in data mining and machine learning.
  • Proficient in relevant programming languages like R, Python. Especially Python.
  • Experience querying databases using R, Python, SQL etc.
  • Experience in RedShift, Elastic, Kafka, Tableau, Hadoop & Hive, Apache Spark, or related technology.
  • Experience with using and creating API.
  • Experience with NLP and text manipulation is a plus.
  • Experience in building data pipelines for either structured and unstructured data. Both is a plus.
  • Experience with automation and CI/CD is a plus.
  • Experience with public cloud providers (AWS, Google Cloud, Azure) is a plus.
  • Self-starter. Can work with minimal amount of supervision.

Why work with us?

  • Competitive salary
  • Online Course and Career Development Courses
  • Flexible working hours and work environment
  • Work hybrid
  • Annual Health Checkup
  • Health and life insurance plan
  • Dental Allowance
  • Provident fund
  • Company sponsored laptop
  • Company Outing
  • Company Town Hall
  • Board Games


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