AI Engineer
Thailand Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Banpu Public Company. Thailand.
Pay not stated AI Engineer salary
RoleAI Engineering
SeniorityMid-level
LocationThailand
PostedSep 3, 2026 · 7w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Turn business questions into machine-solvable problems, then choose analytical methods and algorithms to address them
- Build mathematical models and run experiments across data and algorithms to improve insights and assess solution quality
- Create an A/B testing framework and test models on cloud-based machines
- Work with data scientists to set data needs and improve models for distributed solutions
- Move analytic products into business operations, support deployed models, and review results for lifecycle improvements
What you bring
- A bachelor’s degree or higher in engineering or a science field
- At least five years working across AI or data science, including data understanding, modeling and deployment
- Strong Python coding and computational ability
- Machine-learning and statistics experience, plus an AI portfolio
- English proficiency with a TOEIC score of at least five hundred
Who this fits
This role suits someone who can connect quantitative modeling with practical business use and communicate results clearly. You should be ready to learn, work with data scientists and support models after deployment.
From the employer
Job Summary:
Responsibilities:
- Frame the business problem and model if it can be resolved by machines’ solutions
- Improve actionable insights from data/models through applying various algorithmic techniques
- Select the right analytic techniques and set of potential algorithms to resolve complex business questions
- Develop mathematical models using Linear Algebra, Statistics and Probability or Geometry at an optimize level
- Develop company A/B testing framework and test model/solution quality on various machines on Cloud.
- Collaborate with Data Scientist team to identify data requirement, model improvement, as an input to the distributed solution process
- Perform the series of experiments with data and multiple algorithms
- Convert statistical results into consumable information for business usage
- Identify the solution to deploy the analytic product into the business operation process
- Provide Operations and Production support to operationalized (deployed) models
- Evaluate the modeling results and identify improvements after production as a full AI lifecycle
Qualifications:
- Bachelor’s degree or higher in Engineering and Science fields
- Experience in the AI/Data science lifecycle including data understanding, modeling, and deployment at least 5 years
- Strong skill in coding and computation using Python (must) and others
- Experience in Big Data and Cloud computing
- Experience in either open-source or proprietary software
- “Make it done” Attitude and open to learn new things
- Quantitative and Growth Mindsets
- Excellence in communication and data storytelling
- Experience with machine learning algorithms and statistics including regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, and so on.
- Qualified AI portfolio
- Good command of spoken & written English (Minimum TOEIC Score 500)