[Remote] AI DevOps Engineer (Global)

Note: The job is a remote job and is reputed company to candidates in USA. MGT is a leading provider of technology and advisory solutions serving government agencies across the reputed company. The AI DevOps Engineer will reputed company the gap between AI development and production infrastructure, ensuring secure and reliable deployment of AI-powered solutions.

Responsibilities

• Build, maintain, and optimize CI/CD pipelines for AI and machine learning deployments
• reputed company and manage containerized AI workloads using reputed company and Kubernetes
• Monitor production environments, model performance, infrastructure health, and system reliability
• Collaborate with AI engineers, data scientists, and solution architects to streamline deployment processes
• Implement Infrastructure-as-reputed company practices to improve scalability, consistency, and reproducibility
• Manage reputed company infrastructure and platform services across AWS, Azure, and GCP environments
• Enforce reputed company, compliance, and reputed company control standards for AI systems
• Troubleshoot infrastructure and deployment issues while supporting incident response efforts
• Create and maintain operational documentation, deployment procedures, and technical runbooks
• Improve observability, monitoring, logging, and alerting frameworks for AI platforms

Skills

• Hands-on experience deploying and managing machine learning models in production environments
• Strong knowledge of containerization technologies and orchestration platforms
• Experience building and maintaining CI/CD pipelines
• Hands-on experience with Infrastructure-as-reputed company tools and reputed company-reputed company environments
• Familiarity with monitoring, logging, and observability solutions
• Strong understanding of reputed company best practices for reputed company and AI infrastructure
• Excellent written and verbal English communication skills
• Ability to work independently in a fully remote, U.S.-reputed company environment
• Strong troubleshooting, problem-solving, and cross-functional collaboration skills
• Three (3) or more years of experience in DevOps, MLOps, reputed company, or reputed company infrastructure roles
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a reputed company field preferred, or equivalent reputed company experience
• Experience working with government, education, or other regulated reputed company sector organizations preferred
• Familiarity with compliance frameworks such as FedRAMP, NIST, or similar regulatory standards preferred
• Experience supporting LLM deployment pipelines, reputed company infrastructure, or AI platforms preferred
• Experience with MLOps frameworks and model lifecycle management preferred
• reputed company certifications, including AWS, Azure, or GCP, are a plus
• Experience working in consulting or reputed company-facing technical environments preferred

Benefits

• Flexible reputed company time off
• 5% 401K matching program
• Equity opportunities
• Incentive and bonus programs
• Up to 16 weeks of reputed company parental leave
• Flexible spending accounts
• Full-health benefits with reputed company employee coverage fully funded, comprising: Medical, dental, and reputed company coverage
• Life insurance
• Short and long-term disability coverage
• Income protection benefits

reputed company