Pricing AI/ML Engineer (Junior to Senior)

COMMODITY INDEX SDN. BHD.; Kuala Lumpur; On-site; MYR 90,000 - 150,000; Full time

Job summary

COMMODITY INDEX SDN. BHD. in Kuala Lumpur seeks an Algorithm / Machine Learning Engineer (Junior to Senior) to transform business logic into ML-driven pricing models and to apply NLP on commodity market data.

You will design, develop, and maintain models with time-series forecasting and deep learning frameworks. The role requires strong Python/SQL, experience in ML/NLP, and the ability to translate complex analyst logic into robust engineering solutions.

Qualifications

• Bachelor’s degree or higher in CS/Math/Statistics/Data Science.
• Strong Python and SQL programming skills.
• Experience with ML, time-series forecasting, and DL frameworks.
• Experience in NLP including text classification and entity extraction.
• Ability to translate unstructured methodologies into engineering requirements.
• Nice to have commodity pricing or dynamic pricing experience.

Responsibilities

• Translate research methodologies into executable algorithmic pricing models.
• Design and maintain AI/ML–driven pricing and quotation models using time series.
• Apply NLP and data mining to commodity market data and reports.
• Develop algorithms with XGBoost, LightGBM, ARIMA, LSTM, PyTorch or TensorFlow.
• Build NLP solutions for classification, entity recognition, and summarization.
• Establish evaluation frameworks tracking daily quotation performance.
• Collaborate with BAs, Data Engineers and Product teams throughout lifecycle.

Skills

Python

SQL

Analytical thinking

Communication

Team collaboration

Education

Bachelor's degree in CS/Math/Statistics/Data Science

Tools

Pandas

NumPy

Scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

ARIMA

LSTM

Job description

COMMODITY INDEX SDN. BHD. in Kuala Lumpur seeks an Algorithm / Machine Learning Engineer (Junior to Senior) to transform business logic into ML-driven pricing models and to apply NLP on commodity market data.

You will design, develop, and maintain models with time-series forecasting and deep learning frameworks. The role requires strong Python/SQL, experience in ML/NLP, and the ability to translate complex analyst logic into robust engineering solutions.