AI Operations Specialist

This role is critical to ensuring AI services run reliably, securely, and efficiently—supporting continuous improvement, automation, and incident resolution.

Key Responsibilities:

• Monitor and manage AI system and data pipeline performance and uptime
• Triage, troubleshoot, and resolve incidents with minimal disruption
• Maintain operational tasks such as model updates, patching, and data refreshes
• Analyze performance metrics and optimize system resource usage
• Automate repetitive tasks using scripting and orchestration tools
• Ensure documentation, runbooks, and recovery procedures are current and complete
• Support change management processes for AI and data infrastructure
• Collaborate with cross-functional teams to maintain secure and compliant operations

• 3+ years in IT operations, with at least 1 year supporting AI/ML systems and data pipelines
• Experience with MLOps tools and concepts, including model deployment and lifecycle management
• Hands-on with Apache Airflow, Prefect, Spark, Kafka, and cloud data services (AWS, Azure, or GCP)
• Strong troubleshooting and incident response skills in production environments
• Familiarity with system monitoring, data quality management, and automation workflows
• Understanding of CI/CD pipelines, containerization, and infrastructure as code
• Knowledge of security best practices for AI operations and data handling
• Bachelor's degree in Computer Science, IT, or a related field (or equivalent experience)
• Excellent communication, documentation, and cross-functional collaboration skills

• Technical certifications in cloud platforms, MLOps, or data engineering
• Experience in higher education or similarly complex organizational environments
• Familiarity with IT service management (e.g., ITIL) and compliance frameworks