AI Operations Engineering Technical Leader

Meet the Team The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to reinvent Cisco's existing products and how customers interact with them. Our group also introduces new offerings that help customers roll out Generative AI at scale responsibly. We unlock the benefits of this technology for Cisco teams and partners across Security, Enterprise Networking, Collaboration, and Splunk portfolios. Your Impact Cisco is looking for a highly experienced and innovative ML Operations Engineer to join our global DevOps team. In this critical role you will drive the production readiness, deployment, and maintenance of scalable machine learning systems. You will work closely with a cross‑functional team of data scientists, software development engineers, information security professionals, and DevOps engineers to create secure and resilient ML pipelines. Key Responsibilities Design, build, and manage robust ML pipelines for training, validation, and deployment. Build and maintain scalable infrastructure using Kubeflow for ML experiments and inference in multiple public cloud environments. Implement CI/CD in GitHub for ML systems ensuring reproducibility and traceability. Drive the implementation of LLM evaluation and observability solutions. Advocate automation in every layer of the infrastructure stack using 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. Minimum Qualifications Bachelor's degree in Computer Science, Engineering (or related field) with 8 years of DevOps experience; or Master's degree with 6 years of related experience; or PhD with 3 years of related experience. Understanding of CI/CD pipelines and automation tools. Knowledge of cloud platforms, minimally AWS with Azure and GCP as a bonus. Proficiency in Python and familiarity with ML libraries (e.g., Scikit‑learn, PyTorch, TensorFlow). Strong understanding of ML lifecycle management and model versioning. Preferred Qualifications 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 such as Jenkins, GitLab, ArgoCD. Strong proficiency in Kubernetes, Docker, and cloud‑native patterns in AWS, Azure, or GCP. Benefits Medical, dental, and vision insurance. 401(k) plan with Cisco matching contribution. Paid parental leave and short‑term disability coverage. Basic life insurance and Cisco restricted stock units. Paid holidays, vacation, and sick time. Employment Information The application window is expected to close on 06/01/2026. The posting may be removed earlier if the position is filled or if a sufficient number of applications are received. #J-18808-Ljbffr