AI-OPS Team Member | IT Infrastructure

We are seeking a skilled and motivated AI-OPS Team Member to join our IT Infrastructure – Tools & Collaboration department.

This is an exciting opportunity to be part of a newly established AI-OPS team, responsible for centralizing and optimizing the management of our organization’s AI-related infrastructure across all environments.

About the Role

As an AI-OPS Team Member, you will play a key role in managing and maintaining our AI infrastructure—both on-premise and in the cloud. You will ensure the availability, performance, scalability, and security of AI platforms, tools, and hardware resources that support our enterprise AI initiatives.

Key Responsibilities

• Operate and maintain AI infrastructure with a focus on stability, performance, and scalability.
• Deploy, configure, and troubleshoot AI platforms, containerized environments, and GPU-based workloads.
• Monitor and optimize resource utilization (CPU, GPU, memory, storage, network).
• Contribute to CI/CD processes and implement automation using Infrastructure as Code (IaC).
• Manage security, access controls, and compliance across AI systems.
• Collaborate with AI Platform Engineers and AI Security Engineers to resolve incidents and improve reliability.
• Maintain documentation, runbooks, and operational best practices.
• Continuously identify opportunities to improve efficiency and cost-effectiveness in AI infrastructure management.

Required Qualifications

• Proven experience in IT infrastructure operations and management.
• Hands-on experience with AI/ML platforms (e.g., MLflow, Kubeflow).
• Proficiency in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
• Strong knowledge of cloud infrastructure (Azure preferred, AWS or GCP).
• Expertise in Docker and Kubernetes, especially for AI workloads.
• Experience with GPU management and optimization.
• Proficiency in Infrastructure as Code (Terraform, Ansible).
• Solid Linux administration skills.
• Familiarity with Prometheus, Grafana, and similar monitoring tools.
• Scripting ability in Python and Bash.
• Strong understanding of networking, distributed systems, and infrastructure security.
• Experience managing or deploying vector databases.
• Familiarity with AI infrastructure vendor solutions.
• Experience in infrastructure centralization projects.
• Relevant cloud or container certifications.