About this role
The role involves designing and implementing AI/ML models and NLP solutions to deliver business value and process improvements. Responsibilities include transitioning legacy reporting to a Snowflake data lake and optimizing data pipelines for model training and deployment.
An undergraduate degree in STEM with at least 1 year of related experience is required, while a master's degree is preferred. Proficiency in Python and experience with ML frameworks and the Snowflake data platform are essential.
What they're looking for
PythonJavaC++TensorFlowPyTorchScikit-learnSnowflakeData Engineering
Frequently asked questions
What does a Technical Professional - Data Science/Senior Technical (AI Engineer) at Halliburton do?
The role involves designing and implementing AI/ML models and NLP solutions to deliver business value and process improvements. Responsibilities include transitioning legacy reporting to a Snowflake data lake and optimizing data pipelines for model training and deployment. An undergraduate degree in…
What skills does this Technical Professional - Data Science/Senior Technical (AI Engineer) role need?
Key skills for this role include Python, Java, C++, TensorFlow, PyTorch, Scikit-learn.
How much does a Technical Professional - Data Science/Senior Technical (AI Engineer) at Halliburton pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Technical Professional - Data Science/Senior Technical (AI Engineer) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Technical Professional - Data Science/Senior Technical (AI Engineer) role?
You can apply directly on Halliburton's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.