Cisco AI Operations Engineering Technical Leader 

United States, California, San Jose 

73705333

Design, build, and manage robust ML pipelines for training, validation, and deployment

Build and maintain scalable infrastructure for ML experiments and inference in multiple public cloud

Implement CI/CD for ML systems ensuring reproducibility and traceability

Advocate automation in every layer of the infrastructure stack using Infrastructure as Code (IaC) principles and tools such as Terraform, Helm, and GitOps frameworks.

Monitor models in production for performance degradation, drift, and fairness

Participate in on-call rotation for ML Operations

Work closely with data scientists, engineers, and product managers to understand requirements and integrate models into applications

Bachelors degree in Comp Science, Engineering (or related field /industry) + 8 years of DevOps experience, Masters + 6 years of related experience, or PhD + 3 years of related experience.

Strong understanding of CI/CD pipelines and automation tools.

Knowledge of cloud platforms (AWS, Azure, GCP)

Proficiency in Python and familiarity with ML libraries (e.g., Scikit-learn, PyTorch, TensorFlow, etc.)

Strong understanding of ML lifecycle management and model versioning

Experience deploying large language models (LLMs) or generative AI systems

Familiarity with feature stores, vector databases, or data observability platforms

Excellent communication, collaboration, and mentoring skills.

Deep expertise in CI/CD tooling and practices, including hands-on experience with systems like Jenkins, GitLab, ArgoCD, or similar.

Strong proficiency in Kubernetes, Docker, and cloud-native patterns in AWS, Azure, or GCP.