AI DevOps Engineer
Core
Build and maintain AI/ML infrastructure, CI/CD pipelines, and cloud environments for AHRQ applications, ensuring quality, reliability, and security of AI solutions.
Role type
Senior AI DevOps Engineer
Builds
AI/ML applications, continuous integration pipelines, and cloud infrastructure for AHRQ
Domain
Healthcare + AI/ML + Cloud Infrastructure
Deliverable
production ML models
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), AWS services, Version control, Security and data protection
Preferred skills
Agile/Scrum methodologies, Cross-functional collaboration, Problem-solving
Technologies
AWS (EC2, S3, CloudFront, CloudWatch, SQS, ELB, VPC, RDS, IAM, CloudFormation), Linux, Git, Apache, NGINX, Python, Bash, Ruby, Perl, R, SQL, REST, OAuth 2, SSL
Responsibilities
Create and support effective continuous integration pipelines; Implement, install, upgrade, troubleshoot, and manage server and network configuration; Collaborate with stakeholders on requirement development; Provide application and feature development and infrastructure planning; Coordinate with developers and DBAs during development and maintenance; Monitor infrastructure and application performance; Debug, troubleshoot, and optimize application performance; Implement security and data protection measures; Document technical specifications and development processes.
Seniority
Senior, hands-on IC
