Arizona Licensed Senior AI/ML DevOps Engineer

Job Summary

To support advanced analytics and AI capabilities, the full-time Arizona Licensed Senior AI/ML DevOps Engineer will design, develop, and deploy scalable machine learning solutions while working remotely with occasional onsite requirements.

Key responsibilities

• Leads the design and implementation of environments for scalable AI/ML solutions, including predictive models and workflows
• Develops and maintains end-to-end machine learning pipelines for data ingestion, feature engineering, and lifecycle management
• Architects and supports production-grade DevOps practices, including CI/CD, model versioning, and automated testing

Required qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field; or 4 years of relevant experience
• 7 years of progressive experience in DevOps within cloud deployment, AI/ML Ops, or related software engineering roles, including at least 3 years with AI/ML production workloads
• Hands-on experience with cloud-native AI/ML services, preferably in Google Cloud Platform (GCP)
• Proficiency in MLOps, DevOps practices, and software engineering methodologies such as CI/CD and containerization
• Strong SQL and data engineering skills with experience in large-scale data processing and integration across enterprise data platforms