Machine Learning Engineer
- Team
- Data and AI
- Location
- Kuala Lumpur
- Work arrangement
- On-site
- Type
- Full time
- Salary
- RM 6,000 to RM 7,500 a month
- Applications close
- 31 December 2026
About the role
You take models into production and keep them accurate once real data starts arriving. A model that only works in a notebook is not finished.
What you will do
- Take models from prototype to a production service with monitoring.
- Build the data and feature pipelines the models depend on.
- Watch for drift and retrain deliberately rather than reactively.
- Explain to a client what the model can and cannot be trusted to do.
What you will bring
- Experience deploying models, not only training them.
- Solid Python and comfort with the engineering around it.
- Honesty about uncertainty and error rates.
- Understanding of what a wrong prediction costs in the client's terms.
What we offer
Own real systems
From the first architecture session through to live operation, rather than a slice of someone else's design.
Work with the people you build for
Direct contact with the people using what you build, with no account layer in between.
Ship in increments
Work delivered in two to four week increments, demonstrated and accepted before the next one starts.
Grow on a real budget
An RM 1,000 yearly learning allowance, conference time counted as work, and group insurance cover from your first day.
Who we are
idataraya is a Malaysian software company. We design, build and then operate the systems our clients run their organisations on, for businesses and public institutions across Malaysia.
The engineers who design and build a system are the ones who keep it running afterwards. That is the shape of the whole company, and it is why the roles here look the way they do.
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