AI/ML Engineer (Eng - Senior) Cementing

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., * 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., 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

• 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.

Compensation is competitive and commensurate with experience.

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., At Halliburton, we’re committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs - now and in the future. When you join our team, you’ll gain access to a wide range of programs designed to help you thrive at work and at home.