Chevron is looking to enhance the performance and efficiency of its AI systems by developing and refining algorithms and models.
Requirements
- Minimum 5 years’ experience in developing, deploying, and maintaining data science solutions.
- Proficiency in programming languages such as Python and SQL, as well as familiarity with AI frameworks like torch/tensorflow, sklearn, agentic frameworks like Semantic Kernel, and tools like Azure ML, DataRobot, and Azure AI Foundry.
- Proven experience in analytics, preferably for big data and cloud environments.
- Proficient in data acquisition, wrangling, and preparation
- Proficient in deploying and managing resources in the cloud, preferably Microsoft Azure
- Experience in energy or supply chain sector
Responsibilities
- Develop and refine algorithms and models to enhance the performance and efficiency of AI systems.
- Design and implement scalable AI platforms, ensuring robustness and the ability to manage diverse AI workloads.
- Establish and promote best practices and standard patterns for data science and AI projects across the enterprise.
- Provide guidance and support to data scientists and engineers in adopting these standards
Other
- Innovative Environment: Thrive in an Agile environment where your ideas and contributions are valued.
- Professional Growth: Access to continuous learning opportunities and professional development to enhance your skills and career.
- Collaborative Culture: Work closely with various departments, including marketing, IT, and customer service, to deliver innovative solutions and drive business success.
- 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.
