AI Engineer: Data Science & ML Deployment

Halliburton Energy Services; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Halliburton Energy Services invites an aspiring Data Scientist/AI Engineer (Associate to Senior) to join our Singapore team. You will work on data engineering, modeling, and deploying AI solutions across diverse datasets, leveraging Snowflake, TensorFlow, PyTorch and Scikit-learn.

You will collaborate with data sources, build data dictionaries, and help transition reporting infrastructures to modern data lake architectures while improving model performance and business outcomes.

Qualifications

• An undergraduate STEM degree with 1+ years experience required.
• Master's degree in STEM preferred.

Responsibilities

• Perform data engineering, data modeling or model deployment under supervision.
• Collaborate to obtain data from sources, clean data, and build a data dictionary.
• Transition legacy SQL Server reporting to Snowflake-based data lake architecture.
• Design, develop, and deploy AI/ML models and algorithms.
• Build and deploy machine learning, deep learning, and NLP solutions.
• Monitor model performance and continuously improve accuracy and efficiency.

Skills

Python

Java

C++

Education

Undergraduate STEM degree + 1+ years experience

Master's degree in STEM preferred

Tools

TensorFlow

PyTorch

Scikit-learn

Snowflake

Job description

Halliburton Energy Services invites an aspiring Data Scientist/AI Engineer (Associate to Senior) to join our Singapore team. You will work on data engineering, modeling, and deploying AI solutions across diverse datasets, leveraging Snowflake, TensorFlow, PyTorch and Scikit-learn.

You will collaborate with data sources, build data dictionaries, and help transition reporting infrastructures to modern data lake architectures while improving model performance and business outcomes.