Cisco's CTO Infrastructure & Security Innovation team is pioneering the next generation of secure and scalable platforms by leveraging advanced machine learning, deep learning, and large language model (LLM) technologies.
We are a forward-looking group developing novel approaches to secure digital experiences and embedding AI/ML innovation into Cisco's infrastructure and security strategy.
Your ImpactAs an MLOps Engineer, you will design, build, and optimize our next- generation machine learning pipelines and platforms. You will collaborate with data scientists, ML researchers, and security experts to operationalize models, including LLMs, at scale. Your work will ensure reliability, automation, experimentation, and compliance across the ML lifecycle.
Key Responsibilities Include:
Build and maintain scalable ML pipelines using Kubeflow and other MLOps frameworks for training, deployment, rollback, and monitoring.
Implement and optimize CI/CD pipelines to automate ML workflows, including integrated reporting, alerting, and drift detection.
Deploy and optimize LLM and deep learning models for infrastructure and security-related applications, ensuring low-latency inference at scale.
Collaborate with data scientists to transform experimental models into resilient, production-grade microservices.
Enable experiment tracking, model registry integration, and reproducible training and evaluation pipelines.
Monitor model performance through offline experimentation and online shadow deployments or A/B testing.
Establish best practices for compliance, governance, rollback, and monitoring of models in sensitive security domains.
Partner with cross-functional engineering and research teams across Cisco to integrate ML into infrastructure and security solutions.
Minimum Qualifications
5+ years of experience in MLOps, ML engineering, or applied AI roles.
Expertise with Kubeflow for orchestrating training and inference pipelines.
Strong background in operationalizing deep learning and LLM models in production environments.
Experience designing microservices architectures for real-time ML applications at scale.
Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
Solid background in CI/CD for ML, observability, and scalable deployment strategies.
Hands-on knowledge of cloud-native technologies (Kubernetes, Docker, GCP/AWS/Azure).
Preferred Qualifications
5+ years of experience in MLOps, ML engineering, or applied AI roles.
Expertise with Kubeflow for orchestrating training and inference pipelines.
Strong background in operationalizing deep learning and LLM models in production environments.
Experience designing microservices architectures for real-time ML applications at scale.
Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
Solid background in CI/CD for ML, observability, and scalable deployment strategies.
Hands-on knowledge of cloud-native technologies (Kubernetes, Docker, GCP/AWS/Azure).
#WeAreCisco
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection—we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage.
Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people.One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference.
Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% doOur purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet.
Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best.
We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with usShow more Show less
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