AI Engineer — Data Science, ML & Deployment

mypetrocareer.com; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Halliburton seeks a Data Scientist in Singapore to perform data engineering, modeling, and deployment across AI/ML solutions. You will source data, clean it, build data dictionaries, and deploy models via APIs and cloud platforms.

Role requires an undergraduate STEM degree with 1+ years of experience (master's preferred) and hands-on Python/Java/C++, plus TensorFlow, PyTorch or Scikit-learn; Snowflake experience is essential. Opportunity for impact on global energy data problems.

Qualifications

• Undergraduate degree in STEM and 1+ years of related experience; master's degree preferred.

Responsibilities

• Data engineering, data modeling or model deployment under supervision.
• Collaborate to obtain data, clean data, and build a data dictionary.
• Design, develop, and deploy AI/ML models and algorithms.
• Transition legacy SQL Server reporting to Snowflake-based data lake.
• Monitor model performance and improve accuracy.

Skills

Python

Java

C++

ML frameworks

Education

BSc in STEM

MSc in STEM (preferred)

Tools

Snowflake

Job description

Halliburton seeks a Data Scientist in Singapore to perform data engineering, modeling, and deployment across AI/ML solutions. You will source data, clean it, build data dictionaries, and deploy models via APIs and cloud platforms.

Role requires an undergraduate STEM degree with 1+ years of experience (master's preferred) and hands-on Python/Java/C++, plus TensorFlow, PyTorch or Scikit-learn; Snowflake experience is essential. Opportunity for impact on global energy data problems.