M

MCI

Provides BPO call center outsourcing services

AI Systems Administrator

Platform EngineeringPosted on Nov 5
Full-timeSouth AfricaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field is required.
  • At least 2 years of experience in systems administration, DevOps, or infrastructure management is required; AI/ML environment experience is preferred.
  • A strong understanding of cloud platforms such as AWS, Azure, and GCP, and containerization technologies such as Docker and Kubernetes, is required.
  • Experience with Linux/Unix administration, Python/Bash scripting, and automation tools such as Terraform, Ansible, and Jenkins is required.
  • Familiarity with machine learning frameworks such as TensorFlow and PyTorch, and AI model deployment pipelines, is required.
  • An understanding of networking, security, and storage in distributed computing environments is required.
  • Experience with GPU-based computing and performance optimization for AI workloads is required.
  • Strong problem-solving, troubleshooting, and documentation skills are required.
  • Strong collaboration and communication abilities for working with cross-functional AI and engineering teams are required.
  • Applicants must be authorized to work in the country where the job is based.
  • Applicants must be willing to submit to a Level II background and/or security investigation with fingerprinting, when applicable to the program and location.
  • Applicants must be willing to submit to drug screening, when applicable; this does not apply in Canada.

Responsibilities

  • Oversee, configure, and monitor AI and machine learning 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 for large language models, data processing pipelines, and model deployment.
  • Optimize system performance through tuning, automation, and proactive maintenance.
  • Apply security best practices to AI systems to ensure data integrity, confidentiality, and compliance with company and industry standards.
  • Manage user access, permissions, and security configurations across AI platforms.
  • Support deployment and integration of AI models and APIs into production environments.
  • Collaborate with developers, data scientists, and prompt engineers to ensure 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 documentation of system configurations, procedures, and troubleshooting guides.
  • Provide technical support to AI teams to ensure smooth operation of 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.

Desired Qualifications

  • Experience in an AI/ML environment is preferred.

About the Company

MCI

Provides BPO call center outsourcing services

MCI provides business process outsourcing and call center services to a wide range of clients in both B2B and B2C markets. The company handles customer interactions and back-office tasks to improve customer experience, boost efficiency, and reduce client costs. With operations in seven countries and a global team of over 5,000 associates, MCI delivers support at scale across multiple languages and industries. Growth comes from organic expansion and acquisitions, assembling a family of firms that offer complementary services under a single umbrella. MCI’s main differentiators are its global reach, long-term client relationships, and focus on measurable outcomes such as higher customer satisfaction and lower operating expenses. The company’s goal is to help clients streamline their customer-facing processes and back-office operations while driving cost savings and revenue improvements.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$4.2M
Headquarters
Iowa City, IA
Founded
2015

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