Lead Machine Learning Engineer

Total Number of Openings 1 Chevron is accepting online applications for the position Lead Machine Learning Engineer through May 15th, 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. 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. Partner with Data Scientists, Data Engineers, and IT teams to integrate models into enterprise data pipelines and workflows. Model Operationalization Transform prototypes into scalable, production-ready solutions. Design and execute experiments to fine-tune algorithms for optimal performance, latency, and resource efficiency. Configure and manage infrastructure for low-latency, highly available, and resilient ML workloads. Deployment & Integration Build, maintain, and optimize CI/CD pipelines for automated AI/ML deployments. Integrate models with enterprise MLOps infrastructure and downstream business applications. Develop and implement testing and validation frameworks to ensure model reliability and reproducibility. Monitoring & Maintenance Implement comprehensive monitoring, alerting, and exception-handling systems for deployed models. Collaborate with Data Scientists to ensure inference processes produce accurate, consistent predictions and recommendations. Proactively identify and resolve model drift, performance degradation, and system issues. Required Qualification

Upstream exploration and production hiring

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