Machine Learning Engineer, Data & Insights, Surface & Hse
Chevron Australia
7+ years software engineering experience
Python proficiency for ml engineering
Azure cloud services and mlops
The role involves transforming AI and data science concepts into scalable, production-grade solutions aligned with strategic business objectives
Job Summary
The role involves transforming AI and data science concepts into scalable, production-grade solutions aligned with strategic business objectives.
Candidates will bridge the gap between research and production to deliver AI systems across Upstream Surface and Health Safety and Environment domains.
The position requires building and maintaining CI/CD pipelines for automated AI/ML deployments using modern DevOps practices.
Matching Summary
The role involves transforming AI and data science concepts into scalable, production-grade solutions aligned with strategic business objectives.
Skills & Requirements
Must-have
7+ years software engineering experience
Python proficiency for ML engineering
Azure cloud services and MLOps
CI/CD pipeline development for ML
Production deployment of ML models
Nice-to-have
Master's or Ph.D. in Computer Science
Oil & Gas domain experience
Real-time analytics platform expertise
Enterprise data architecture knowledge
AI adoption roadmap definition
Key Requirements
Bachelor's degree in Engineering or related field
Minimum 7 years hands-on experience
Strong proficiency in Python programming
Experience with Azure Machine Learning
Local candidate status required (no relocation)
Work Rights
Must be a local candidate; no visa sponsorship available