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AI Role Explainers

Pick any AI role and see what a real working day looks like — with salary context and honest assessments of what the job actually involves.

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⚙️

ML Engineer

Builds and ships production machine learning systems

Salary (MY)

RM 10k – 22k / mo

Mid to senior. Junior roles start from RM 6k.

Key skills

PythonPyTorch / TensorFlowMLOpsSQLDockerSystem design

A typical day

9:00

Monitoring review

Admin / ops

Check model performance dashboards. Flag any drift in fraud detection recall — looks like a 0.8% drop over 48 hours, worth investigating.

9:30

Code review

Collaboration

Review two PRs from junior engineers. One has a subtle data leakage issue in the feature pipeline. Leave detailed comment explaining why it matters in production.

11:00

Experiment analysis

Deep work

New model architecture finished training overnight. 3% improvement on validation set but 40% slower at inference. Write up trade-off analysis for the team.

13:30

Cross-functional sync

Collaboration

Product wants new feature in three weeks. Honest answer is six. Negotiate scope — trimming three requirements gets it to four weeks without compromising quality.

15:00

Deep engineering work

Deep work

Redesigning feature store to support real-time lookups for the fraud model. This is the work that moves the architecture forward. Block calendar, mute Slack.

17:30

Documentation

Admin / ops

Write runbook for the new serving infrastructure. Unglamorous. Essential. Saves hours of debugging at 2 AM when something inevitably breaks.

The honest realities

More engineering than science — most of the job is pipelines, monitoring, and debugging.
The model is rarely the bottleneck. Data quality and infrastructure usually are.
You will be on-call. Production systems break at inconvenient times.

How people get here

Software engineer or data scientist who moved into productionisation. CS or EE background most common but not required.

All roles at a glance

⚙️

ML Engineer

RM 10k – 22k / mo

Builds and ships production machine learning systems

PythonPyTorch / TensorFlowMLOps+3 more
🔬

Data Scientist

RM 8k – 18k / mo

Turns messy data into models and insights that drive decisions

Python / RStatisticsMachine learning+3 more
🗺️

AI Product Manager

RM 9k – 18k / mo

Shapes AI products from user need to shipped feature

Product strategyAI fundamentalsUser research+3 more
✍️

Prompt Engineer

RM 6k – 14k / mo

Designs and optimises how AI systems understand and respond

LLM fundamentalsEvaluation designPython scripting+3 more
🔧

MLOps Engineer

RM 10k – 20k / mo

Keeps production AI systems running reliably at scale

Kubernetes / DockerCI/CD pipelinesCloud platforms (AWS/GCP/Azure)+3 more
🧪

AI Research Scientist

RM 12k – 28k / mo

Advances the technical frontier through experimentation and publication

Deep learning theoryMathematical foundationsResearch methodology+3 more