AI Operations Engineer

Builds Operations (AI Ops) Solutions for specific domains.

About Cisco

• Collaborates with cross-functional teams, including data scientists, SWEs, and infrastructure/operations, to ensure the reliability, scalability, and performance of IT applications.
• Qualifications Varies based on the team and business needs | Preferred Qualifications are desired education, experience, and skills that are in addition to Minimum Qualifications.

Why Cisco?

• At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond.
• We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds.
• These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
• Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.
• Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless.
• We work as a team, collaborating with empathy to make really big things happen on a global scale.
• Because our solutions are everywhere, our impact is everywhere.
• We are Cisco, and our power starts with you.

Responsibilities

• Automates and optimizes IT operations processes, managing risk, incident management, and root cause analysis using artificial intelligence (AI) and machine learning (ML) techniques.
• AI Ops aim to reduce the time and effort needed for IT processes while increasing the precision and speed of problem-solving through optimizing the end-to-end lifecycle of artificial intelligence (AI) applications and systems.
• Automates routine tasks and implements continuous integration/continuous deployment (CI/CD) pipelines to optimize AI Ops processes and workflows.
• Troubleshoots basic issues in AI Ops environments, such as configuration errors or service disruptions • Supports the development and implementation of AI Ops solutions for network assurance • Assists in analyzing network performance data and identifying trends and anomalies • Sets up basic monitoring and alerting systems using open-source tools • Develops simple automation scripts to streamline workflows and tasks using scripting languages along with automation frameworks • Designs and implements large-scale machine learning pipelines • Works closely with cross-functional teams to ensure seamless integration of AI Ops into existing IT processes • Stays up to date with the latest advancements in AI and machine learning technologies • Tracks key performance indicators (KPIs) related to AI Ops implementations Minimum Qualifications: • Bachelors + 2 years of related experience, or Masters + 0 years of related experience

Disclaimer

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