AI Operations Engineering Technical Leader
Cisco
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 70% of similar roles. Most pay $168,262–$246,150 — the shaded band above. At the midpoint, this role pays about $244k versus about $207k for comparable roles.
Based on 240 similar postings.
Employer
Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity
Cisco currently has 167 open roles on FindRole.
Listed pay typically runs $165,000–$241,400 across 167 roles with salary data.
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At a glance
Cisco’s AI Software & Platform Group seeks a senior ML Operations Engineer to join its global DevOps team, focusing on the production readiness and maintenance of scalable machine learning systems. This role involves designing robust ML pipelines for training, validation, and deployment, building scalable infrastructure using Kubeflow in multiple public clouds, and implementing CI/CD processes in GitHub to ensure reproducibility. The engineer will also monitor models in production for performance issues and participate in on-call rotations while collaborating closely with data scientists and product managers. Key skills include proficiency in Python, knowledge of cloud platforms like AWS, Azure, and GCP, and experience with ML libraries such as Scikit-learn, PyTorch, and TensorFlow. Ideal candidates have a background in DevOps, strong automation practices, and hands-on expertise with Kubernetes, Docker, and CI/CD tools like Jenkins or GitLab.
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