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
Arizona Licensed Senior AI/ML DevOps Engineer in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.