AI DevOps Engineer
Core
Build and maintain AI/ML infrastructure, CI/CD pipelines, and cloud environments for healthcare research applications.
Role type
Senior AI DevOps Engineer (Cloud & ML Infrastructure)
Builds
Scalable AI/ML applications, continuous integration pipelines, and cloud infrastructure for AHRQ.
Domain
Healthcare research, Artificial Intelligence, Machine Learning, Cloud Infrastructure.
Deliverable
production ML models | infrastructure
Required skills
AI/ML engineering, Generative AI, LLMs, AI solution architecture, CI/CD pipeline creation, Cloud build/release engineering, Linux/Unix system administration, Scripting (Python, Bash, Ruby, Perl), Database management, Web technologies (REST, OAuth, SSL), Version control (Git, TFS), Container management, Security and data protection.
Preferred skills
Agile/Scrum methodologies, Cross-functional collaboration, Problem-solving, Independent task management.
Technologies
AWS (EC2, S3, CloudFront, CloudWatch, SQS, ELB, VPC, RDS, IAM, CloudFormation), Azure, Linux, Windows Server, Apache, NGINX, Git, TFS, Python, Ruby, Shell, Perl, Bash, Powershell, R, HTML, XML, JSON, REST, OAuth 2, SSL, Docker/Java containers.
Responsibilities
Create and support effective continuous integration pipelines; Implement, install, upgrade, and manage server and network configuration; Collaborate with stakeholders on requirement development; Provide application and feature development alongside infrastructure planning; Coordinate with developers and DBAs for application maintenance; Debug, troubleshoot, and optimize application performance; Implement security and data protection measures; Document technical specifications and processes.
Seniority
Senior, hands-on IC with mentorship responsibilities.
