Chevron→
Machine Learning Engineer at Chevron · Ayala…
Skills
Job Description
About Us
Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape.
Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines.
In March 2020, Chevron sold its 45% non-operated interest in the Malampaya natural gas field. This was the first natural gas development and largest industrial project in the Philippines.
From the Philippines, we provide operational support for Chevron offices on five continents. The workforce supplies transactional, processing and consulting services in areas ranging from finance to information technology.
Chevron operates through two subsidiaries in the Philippines. Our Downstream company is Chevron Philippines Inc. We also operate a business processes support organization through Chevron Holdings Inc.
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2024 Circle of Excellence for CSR Company of the Year; 2024 Top 10 Fortune 500 companies; 2023 HR Asia best companies; 2022 Diversity Company of the Year; 2021 Asia’s Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
About the Role
We have an exciting opportunity for an AI/Machine Learning Engineer. This role will be based in 6750 Building, Makati City, Philippines.
The AI Engineer role is responsible for designing, building, and operationalizing AI-enabled data products and intelligent solutions that enhance enterprise decision-making, automation, and analytics capabilities.
This role bridges data engineering, machine learning, and analytics by integrating AI models into enterprise data platforms and workflows. The AI Engineer collaborates with product owners, data engineers, and architects to develop scalable, governed, and production-ready AI solutions aligned with enterprise standards and Responsible AI practices.
The position focuses on enabling AI readiness across data products, embedding intelligence into pipelines, and ensuring that AI-driven insights are reliable, explainable, and actionable within business and operational contexts.
Responsibilities include, but are not limited to, the following:
- Design, build, and deploy AI/ML solutions that integrate with enterprise data products, pipelines, and lakehouse architectures.
- Develop and operationalize machine learning models and AI services for use cases such as predictive analytics, anomaly detection, and automation.
- Design and implement Generative AI solutions using LLMs, including RAG architecture and prompt engineering.
- Collaborate with data engineers to embed AI capabilities into data pipelines and ensure seamless integration with data platforms (e.g., Fabric, Databricks).
- Partner with product owners, architects, and stakeholders to translate business needs into AI-driven solutions and reusable components.
- Enable AI readiness across DL&I data products by standardizing model integration, feature engineering, and inference patterns.
- Ensure AI solutions are production-ready by implementing monitoring, logging, and performance optimization practices.
- Support integration of AI outputs into data products, dashboards, and business processes, ensuring interpretability and usability.
- Work with analytics and reporting teams to translate model outputs into business-facing insights and metrics.
- Contribute to enterprise AI governance by ensuring compliance with Responsible AI principles (fairness, transparency, accountability).
- Document AI models, features, pipelines, and assumptions to support reuse, auditability, and knowledge sharing.
- Participate in Agile delivery practices including backlog refinement, sprint planning, and continuous improvement.
About You
We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged.
Preferred Qualifications:
Technical Skills:
AI & Machine Learning Engineering
- Machine learning model development and lifecycle management
- Feature engineering, model training, evaluation, and deployment
- Familiarity with supervised and unsupervised learning techniques
- Experience with model serving and inference pipelines
Cloud AI & Data Platforms
- Azure AI services (Azure Machine Learning, Cognitive Services, OpenAI integration)
- Microsoft Fabric AI capabilities (Copilot, AutoML, intelligent insights)
- Databricks (MLflow, Model Registry, Delta Lake)
- Understanding of Lakehouse architecture and AI integration patterns
Data Engineering & Integration
- Strong Python and/or SQL for data processing and model integration
- Experience with data pipelines and orchestration tools
- Knowledge of data transformation and feature pipelines
- Integration of AI outputs into downstream analytics systems
MLOps & Deployment
- CI/CD pipelines for machine learning models
- Model versioning, monitoring, and retraining strategies
- Logging, observability, and performance tuning of AI solutions
Delivery & Tooling
- Azure DevOps (ADO) for backlog and work tracking
- Git-based source control for code and model artifacts
- Experience with collaborative development workflows
Soft Skills:
- Strong problem-solving and analytical thinking, with a structured and detail-oriented approach
- Ability to translate complex technical concepts into business-relevant insights
- Effective communication across technical and non-technical stakeholders
- Strong collaboration skills across product, engineering, and architecture teams
- Influencing skills to promote AI adoption and data-driven practices
- Strong documentation and knowledge-sharing discipline
- Continuous learning mindset, especially in rapidly evolving AI technologies
- Comfortable working in Agile, fast-paced delivery environments
Domain Knowledge:
- Understanding of enterprise data platforms and lakehouse architectures
- Familiarity with IT operational data and enterprise analytics use cases
- Experience with ServiceNow, its architecture, and data
- Awareness of data governance, data quality, and compliance considerations
- Experience with integrating AI solutions into enterprise workflows and systems
- Understanding of Responsible AI principles including fairness, transparency, bias mitigation, and auditability
- Exposure to enterprise-scale data environments and performance considerations
Everything we do at Chevron is guided by our values and our commitment to The Chevron Way (https://www.chevron.com/about/the-chevron-way). At the heart of The Chevron Way is our vision to be the global energy company most admired for its people, partnership, and performance.
Participate in world-leading energy projects, advance your professional development and expand your career within an inclusive, collaborative and high-performing workplace.
Benefits:
- Competitive salary
- Allowances, medical and optical reimbursements
- Health care coverage for you and your eligible dependents
- Robust employee centered programs for health and wellness
- Time-off to promote healthy work-life balance or to care for your family
- Annual corporate incentive bonus when the company meets established goals
- Recognition & awards program
- Life insurance
- Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
Connect with us:
Chevron participates in E-Verify in certain locations as required by law.