AI Operations Engineer, AI/ML, Operational tooling

Cisco Systems, Inc; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cisco Systems, Inc in Bengaluru, India is seeking an experienced AI Ops professional to build and optimize AI Ops solutions. You will automate IT operations, manage risk, incident management, and root cause analysis using AI and ML techniques, collaborating with data scientists, SWEs, and operations teams to ensure reliability and performance.

Responsibilities include developing monitoring, CI/CD pipelines for AI models, anomaly detection, and seamless migration of AI Ops into existing

Qualifications

• Minimum 7 years of related experience (Bachelor's degree), or 4 years with Master's degree, or 1 year with PhD.
• Strong knowledge of AI Ops concepts, ML/AI workflows, and IT operations.

Responsibilities

• Optimizes AI Ops processes and workflows for efficiency and reliability, leveraging model versioning and pipeline orchestration.
• Develops custom monitoring solutions for AI workloads and deployment architectures, integrating with existing monitoring frameworks and APIs.
• Consolidates monitoring tools with ML and statistics to identify threats and resolve infra issues in real time.
• Implements CI/CD pipelines to automate testing, integration, and deployment of AI models.
• Conceptualizes and deploys ML models, driving continuous refinement.
• Facilitates integration of AI Ops solutions with existing infrastructure and workflows.

Skills

AI Ops

Monitoring

CI/CD

ML models

Anomaly detection

AI agents

Job description

Job Summary

Builds Operations (AI Ops) Solutions for specific domains. 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. Collaborates with cross-functional teams, including data scientists, SWEs, and infrastructure/operations, to ensure the reliability, scalability, and performance of IT applications. Automates routine tasks and implements continuous integration/continuous deployment (CI/CD) pipelines to optimize AI Ops processes and workflows.

Responsibilities

• Optimizes AI Ops processes and workflows for efficiency and reliability, leveraging techniques like model versioning and pipeline orchestration
• Develops custom monitoring solutions tailored to specific AI workloads or deployment architectures, integrating with existing monitoring frameworks and APIs
• Consolidates and combines monitoring tools with machine learning and statistical analysis in order to identify threats and solve infrastructure problems in real time
• Implements CI/CD pipelines to automate testing, integration, and deployment of AI models
• Conceptualizes, develops, and deploys machine learning models, driving continual refinement
• Facilitates the migration, integration, and alignment of AI Ops solutions with the existing infrastructure and workflows
• Continuously seeks ways to enhance AI Ops processes, tools, and methodologies
• Develops, analyzes, and reports on the effectiveness of AI Ops solutions in terms of KPI efficiency gains, incident reduction, and overall IT system performance

Minimum Qualifications

• Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 year of related experience

Preferred Qualifications

• Working experience building Operational tooling
• Working experience building monitoring solutions tailored to Anomaly detection
• Working experience with AI models and AI coding tools
• Working experience building AI agents

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