Machine Learning Engineer, Data & Insights, Surface & HSE

Total Number of Openings 1 Chevron is accepting online applications for the position Machine Learning Engineer, Data & Insights, Surface & HSE through June15th, 2025 at 11:59 p.m. (CST) Overview Chevron is seeking a Machine Learning Engineer to transform AI and data science concepts into scalable, production-grade solutions. You will build, deploy, and maintain machine learning systems that operate reliably at enterprise scale. Working alongside data scientists, software engineers, and cross-functional partners, you will bridge the gap between research and production to deliver AI systems aligned with strategic business objectives. Your work will drive smarter decisions and measurable outcomes across the organization, with strong emphasis on enterprise data platforms, AI-enabled transformation, and real-time analytics in complex domains such as Upstream (Surface) and Health Safety and Environment (HSE). Responsibilities for this position may include but are not limited to: Solution Design & Development Identify data sources, technology stacks, and design patterns to address business challenges using AI and ML, with emphasis on Azure-based data platforms and enterprise architectures. Partner with Data Scientists, Data Engineers, and IT teams to integrate models into enterprise data pipelines and large-scale data ecosystems. Design scalable data and AI solutions enabling near real-time analytics and cross-domain data integration. Model Operationalization Transform prototypes into scalable, production-ready solutions across distributed and cloud-native environments. Design and execute experiments to fine-tune algorithms for performance, latency, and resource efficiency, aligned with enterprise-scale workloads. Configure and manage infrastructure for low-latency, highly available, and resilient ML workloads integrated with enterprise data platforms. Deployment & Integration Build, maintain, and optimize CI/CD pipelines for automated AI/ML deployments using modern DevOps

Upstream exploration and production hiring

This opportunity is positioned for professionals who understand execution pressure, industrial operating rhythm, and Houston's energy capital stack.