AI Systems Administrator
MCI · United States · 1 mo ago
RemoteRemoteInformation TechnologyFull-time
About the role
MCI is seeking a technically skilled, proactive, and detail-oriented AI Systems Administrator to support, maintain, and optimize the infrastructure powering our artificial intelligence and machine learning environments.
Responsibilities
- Oversee, configure, monitor AI and ML systems, servers, and cloud environments to ensure optimal performance and uptime.
- Manage GPU/CPU clusters and ensure efficient resource allocation for training and inference workloads.
- Implement and maintain scalable infrastructure to support large language models (LLMs), data processing pipelines, and model deployment.
- Optimize system performance through tuning, automation, and proactive maintenance.
- Apply best practices for securing AI systems, ensuring data integrity, confidentiality and compliance with company and industry standards.
- Manage user access, permissions, and security configurations across AI platforms.
- Support the deployment and integration of AI models and APIs into production environments.
- Collaborate with developers, data scientists, and prompt engineers to ensure seamless system functionality and workflow automation.
- Monitor system health, usage, and performance metrics; diagnose and resolve infrastructure or software issues.
- Maintain logs, conduct root cause analysis, and implement corrective actions to prevent recurrence.
- Develop scripts and tools to automate system tasks, data transfers, and performance checks.
- Support CI/CD pipelines for AI model updates and system maintenance.
- Create and maintain detailed documentation of system configurations, procedures, and troubleshooting guides.
- Provide technical support to AI teams, ensuring smooth operation of all AI systems and tools.
- Stay up to date with advancements in AI infrastructure, cloud technologies, and MLOps practices.
- Recommend and implement improvements to enhance system reliability and scalability.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
- 2+ years of experience in systems administration, DevOps, or infrastructure management (AI/ML environment experience preferred).
- Strong understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Experience with Linux/Unix administration, Python/Bash scripting, and automation tools (Terraform, Ansible, Jenkins).
- Familiarity with machine learning frameworks (TensorFlow, PyTorch) and AI model deployment pipelines.
- Understanding of networking, security, and storage in distributed computing environments.
- Experience with GPU-based computing and performance optimization for AI workloads.
- Excellent problem-solving, troubleshooting, and documentation skills.
- Strong collaboration and communication abilities to work with cross-functional AI and engineering teams.
Qualifications
- All positive, and driven applicants are encouraged to apply.
- Must be authorized to work in the country where the job is based.
- Subject to the program and location of the position.
- Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint.
- Job offers are contingent on background/security investigation results.
- Must be willing to submit to drug screening.
- Job offers are contingent on drug screening results.
Skills
- Technical proficiency in AI and ML systems.
- Experience with cloud platforms and containerization technologies.
- Linux/Unix administration and scripting skills.
- Knowledge of machine learning frameworks and model deployment.
- Understanding of network, security, and storage in distributed computing environments.
- Experience with GPU-based computing and performance optimization.
- Strong problem-solving and troubleshooting skills.
- Effective communication and collaboration abilities.
Benefits
At MCI, we offer a comprehensive benefits package that includes:
- Health insurance options.
- Paid time off and holidays.
- Flexible work arrangements.
- Professional development opportunities.
- Employee wellness programs.
Pay
The salary range for this position is $80,000 - $120,000 annually, depending on experience and qualifications.
Schedule
This role is typically full-time, with standard business hours. Remote work is possible for certain positions.