Machine Learning Engineer at Clear focus.

Location: Phra Nakhon Si Ayutthaya, Phra Nakhon Si Ayutthaya Province
Type: Full-time
Posted: Jan 21, 2026

Description

This role involves using Python and PySpark for demand forecasting, leveraging regression and time series models like LightGBM/XGBoost and ETS/ARIMA. The candidate should possess strong SQL skills for data management, familiarity with Power BI for visualization, and knowledge of cloud technologies such as Databricks, Azure, or AWS. They must also demonstrate excellent communication abilities to convey insights to various stakeholders.

Required Skills

Python
PySpark
demand forecasting
LightGBM/ XGBoost
ETS/ARIMA
data cleansing
feature engineering
model evaluation
model explainability
MAPE, MAE
SQL
Power BI
Databricks
Azure
AWS

Additional Information

Required Previous Experiences: Experience with forecasting models such as LightGBM/XGBoost and classical time series methods (e.g., ETS/ARIMA)
Strong understanding of the machine learning workflow (data cleansing, feature engineering, model evaluation, model explainability)
Familiarity with forecasting evaluation metrics (e.g., MAPE, MAE) and ability to validate model performance
Strong SQL skills for managing and querying large datasets
Knowledge of data visualization tools (e.g., Power BI)
Experience with cloud-based technologies such as Databricks, Azure, or AWS
Preferred Qualifications: Exposure to MLOps tools (e.g., MLflow, job scheduling)
Experience building production pipelines for forecast outputs (daily/weekly runs) and supporting downstream systems
Experience in real-time analytics or scheduled processing systems
Optimization mindset — able to balance accuracy, business impact, and time constraints