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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer (Eng - Senior) Cementing - **Company:** Halliburton - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bioinformatics, Cloud Computing, Continuous Integration, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Unstructured Data, Software Organization, Cloud Platform System, Large Language Models, Model Validation, Generative AI, Git, Containerization, Information Technology, Performance Monitor, Machine Learning Operations - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f1a4d58017fb2448 ## About the Role * 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. ## Description 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 ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)