MCI Careers-posted about 2 months ago
Full-time • Entry Level

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs. At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization. We are 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. This role ensures the reliability, scalability, and security of AI systems, models, and related data pipelines bridging the gap between technical operations and advanced AI innovation. To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.

  • 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.
  • 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.
  • Paid Time Off: Earn PTO and paid holidays to take the time you need.
  • Incentives & Rewards: Participate in daily, weekly, and monthly contests that include cash bonuses and prizes ranging from electronics to dream vacations and sometimes even cars!
  • Health Benefits: Full-time employees are eligible for comprehensive medical, dental, and vision coverage after 60 days of employment, and all employees have access to MEC medical plans after just 30 days.
  • Retirement Savings: Secure your future with retirement savings programs, where available.
  • Disability Insurance: Short-term disability coverage is available to help protect you during unexpected challenges.
  • Life Insurance: Access life insurance options to safeguard your loved ones.
  • Supplemental Insurance: Accident and critical illness insurance.
  • Career Growth: With a focus on internal promotions, employees enjoy significant advancement opportunities.
  • Paid Training: Learn new skills while earning a paycheck.
  • Fun, Engaging Work Environment: Enjoy a team-oriented culture that fosters collaboration and engagement.
  • Casual Dress Code: Be comfortable while you work.
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