Senior AI/ML DevOps Engineer

Location: Remote, but must be located in Arizona; occasional onsite work may be required.

Company

hirify.global is a nonprofit healthcare system serving communities across the greater Phoenix area.

What you will do

• Design and implement environments for scalable AI/ML solutions, including predictive models, large language model use cases, and agentic workflows.
• Develop and maintain end-to-end machine learning and RAG pipelines covering ingestion, feature engineering, training, evaluation, deployment, and lifecycle management.
• Implement production DevOps practices including CI/CD, model versioning, automated testing, monitoring, alerting, retraining, and rollback strategies.
• Deploy and manage secure, reliable, and performant AI/ML applications in cloud environments, preferably Google Cloud Platform.
• Establish observability, performance evaluation, resource utilization, and cost-efficiency practices.
• Troubleshoot pipeline, infrastructure, model, and integration issues while documenting architectures, workflows, limitations, and support procedures.

Requirements

• Must be located in Arizona and available for occasional onsite work.
• Bachelor’s degree in computer science, data science, engineering, artificial intelligence, machine learning, mathematics, statistics, or a related quantitative field, or four years of relevant experience.
• Seven years of progressive experience in DevOps, cloud deployment, AI/ML operations, data engineering, or related software engineering, including at least three years deploying and operating production AI/ML workloads.
• Hands-on experience with cloud-native AI/ML services and infrastructure, preferably GCP.
• Proficiency in MLOps, DevOps, CI/CD, Git-based workflows, containerization, Infrastructure as Code, and automated testing.
• Strong SQL, data engineering, API integration, backend engineering, and enterprise systems integration skills, including API calls and MCP servers.

Culture & Benefits

• Monday-Friday daytime schedule.
• Work within a nonprofit healthcare environment focused on patient and community well-being.
• Collaborate with data engineers, data scientists, platform teams, and technical and non-technical stakeholders.
• Support AI/ML solutions aligned with data governance, privacy, security, responsible AI, and HIPAA-related expectations.