About
Solution Design & Development Identify data, technology, and design patterns to address business challenges using AI and ML. Collaborate with Data Scientists, Data Engineers, and IT teams to implement models into enterprise pipelines.
Model Operationalization Transform prototypes into scalable production solutions. Run experiments and fine-tune algorithms for optimal performance. Configure infrastructure for low-latency, scalable, and resilient ML workloads.
Deployment & Integration Build and maintain CI/CD pipelines for AI deployments. Integrate models with IT/FP MLOps infrastructure and business applications. Implement testing frameworks to ensure reliability.
Monitoring & Maintenance Implement monitoring, alerting, and exception management for deployed models. Ensure inference processes generate accurate predictions and recommendations by collaborating with Data Scientists.
Referrals increase your chances of interviewing at Chevron by 2x. Required Qualifications
Bachelor’s degree in Engineering, Computer Science, or a related technical field. Minimum of 5 years of hands-on experience in software engineering or ML engineering with a strong focus on Python development. Proven experience deploying machine learning models into production environments at scale. Solid understanding of data science workflows and AI model lifecycle, including model training, evaluation, and inference. Expertise in Azure cloud services, including Azure Machine Learning and related MLOps tools. Demonstrated ability to troubleshoot complex systems and solve technical problems independently. Experience building and maintaining CI/CD pipelines for ML applications. Strong collaboration skills with cross-functional teams including data scientists and engineers.
Preferred Qualifications
Master’s degree in Engineering, Computer Science, or Data Science. 7+ years of relevant technical experience. Strong understanding of model lifecycle management and performance optimization.
Relocation Relocation may be considered. International Considerations Expatriate assignments will not be considered. Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position. U.S. Regulatory Notice Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com. Chevron participates in E-Verify in certain locations as required by law. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Oil and Gas #J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.