Chevron is looking for a Machine Learning Engineer who can turn AI and data science ideas into real, scalable solutions, making them work in the real world and driving smarter decisions and better outcomes across the company.
Requirements
- 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.
- 7+ years of relevant technical experience.
Responsibilities
- 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.
- 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.
- Build and maintain CI/CD pipelines for AI deployments.
- Integrate models with IT/FP MLOps infrastructure and business applications.
Other
- Bachelor’s degree in Engineering, Computer Science, or a related technical field.
- Strong collaboration skills with cross-functional teams including data scientists and engineers.
- Relocation may be considered.
- 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.
