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Halliburton Cementing is a global leader in well integrity, zonal isolation, and casing support solutions. From surface to Deepwater operations, our technologies ensure secure well construction, long-term stability, and environmental protection through precise slurry design, placement, and real-time downhole monitoring. By combining advanced modeling tools with decades of field expertise, Halliburton delivers cementing performance that defines industry standards for reliability and safety. 

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.

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.
• Understanding of data preparation, machine learning fundamentals, and model development workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively within cross-functional, collaborative engineering teams.

Preferred

• Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related STEM discipline.
• Experience with Generative AI, Large Language Models (LLMs), AI agents, or retrieval-augmented generation (RAG).
• Familiarity with cloud computing platforms, MLOps, model deployment, or containerized applications.
• Experience using Git, CI/CD pipelines, SQL, or modern software development practices.

Candidates with qualifications exceeding the minimum requirements may be considered for the Senior AI/ML Engineer role based on experience, additional qualifications, and business needs.

Machine Learning | Artificial Intelligence | Generative AI | Large Language Models (LLMs) | Python | Data Engineering | Data Modeling | Model Deployment | MLOps | AI-Assisted Development | Cloud Computing | Cross-Functional Collaboration | Continuous Learning | Problem Solving