Data & AI Engineer Intern: ML Pipelines & Scale

Cisco; San Francisco (CA); On-site; USD 60,000 - 120,000; Full time

Job summary

Cisco in San Francisco seeks a student intern to help build data pipelines and ML workflows using Python, train and deploy models with frameworks like PyTorch or scikit-learn, and orchestrate large-scale data solutions with Spark and Kubernetes.

You will contribute to reliable, scalable AI infrastructure, apply knowledge of distributed systems, and gain hands-on experience with deployment tools like Docker. Enrolled in CS/DS program required.

Qualifications

• Proficient in Python and core data structures; demonstrated project work

Responsibilities

• Build data pipelines and ML workflows using Python.
• Develop, train, and deploy models with PyTorch or scikit-learn.
• Orchestrate large-scale data solutions using Spark and Kubernetes.

Skills

Python

ML frameworks

Distributed data processing

Docker / Kubernetes

Education

Undergraduate or Master in CS/DS/Math

Tools

Spark

Job description

Cisco in San Francisco seeks a student intern to help build data pipelines and ML workflows using Python, train and deploy models with frameworks like PyTorch or scikit-learn, and orchestrate large-scale data solutions with Spark and Kubernetes.

You will contribute to reliable, scalable AI infrastructure, apply knowledge of distributed systems, and gain hands-on experience with deployment tools like Docker. Enrolled in CS/DS program required.