Jobs · Information Technology

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.

Similar jobs