AI/ML Engineer Eng - Senior Cementing - Halliburton

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

About the Role

The AI/ML Engineer is an early-career member of a cross-functional product development team focused on building AI-driven solutions that support well barrier analysis, engineering design, and digital innovation. Working alongside data scientists, software engineers, automation specialists, and domain experts, this role contributes to the development, deployment, and continuous improvement of machine learning and generative AI applications.

This position provides an opportunity to gain hands-on experience across the AI development lifecycle, including data engineering, model development, validation, and deployment. The successful candidate will collaborate across disciplines, leverage modern AI tools and technologies, and progressively assume greater technical ownership while contributing to solutions that support Halliburton's global operations.

Key Responsibilities

• Develop, train, evaluate, and deploy machine learning and AI models supporting engineering and operational applications.
• Collect, prepare, cleanse, and organize structured and unstructured data from multiple sources for analytics and model development.
• Develop and maintain data pipelines, datasets, and documentation to support scalable AI solutions.
• Assist with the deployment, monitoring, and continuous improvement of machine learning models and AI-enabled applications.
• Collaborate with software developers, engineers, automation specialists, and product teams to deliver production-ready AI solutions.
• Utilize Python, machine learning frameworks, large language models (LLMs), and AI-assisted development tools to accelerate solution delivery.
• Support model validation, performance monitoring, and continuous optimization using established engineering and data science best practices.
• Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives.
• Stay current on emerging technologies, AI methodologies, and industry best practices to support innovation within the Cementing PSL.

Qualifications

Required

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or another STEM discipline.
• Minimum 1 year of experience in data science, machine learning, software development, or a related technical field.
• Experience programming in Python and working with common machine learning or data science libraries.