Data & AI Software Engineer Intern - Python & ML

Cisco; San Francisco (CA); On-site; USD 28,000 - 48,000; Part time

Job summary

Cisco's Product Organization advertises potential internship opportunities in optimal timing. You will work on data pipelines and ML workflows powered by Python, building and deploying models with PyTorch or scikit-learn. You’ll scale data solutions with Spark and Kubernetes to keep platforms performant as data grows.

Ideal candidates are pursuing an undergraduate degree in CS/DS, with hands-on Python and ML framework experience, and a willingness to learn in a fast-paced AI-driven environment.

Qualifications

• Currently enrolled in an undergraduate degree (Associate's or Bachelor's) in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• Expected to continue enrollment in degree program following completion of the internship.
• Proficient in Python and core data structures, demonstrated through at least one academic, personal, or professional project.
• Exposure to at least one ML framework: TensorFlow, PyTorch, or scikit-learn.
• Working knowledge of at least one big data/distributed processing tool: Spark, Hadoop (MapReduce), or Flink.
• Hands-on experience with at least one deployment/orchestration tool: Docker or Kubernetes.

Responsibilities

• Build data pipelines and ML workflows using Python to power real-world products.
• Develop, train, and deploy models using frameworks like PyTorch or scikit-learn.
• Orchestrate large-scale data solutions using Spark and Kubernetes to ensure scalable, reliable platforms.
• Contribute to design and implementation of AI-driven product features.

Skills

Python

ML frameworks

Big data

Docker/Kubernetes

Education

Undergraduate degree in CS/DS/Stats/Math

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Flink

Docker

Kubernetes

Job description

Cisco's Product Organization advertises potential internship opportunities in optimal timing. You will work on data pipelines and ML workflows powered by Python, building and deploying models with PyTorch or scikit-learn. You’ll scale data solutions with Spark and Kubernetes to keep platforms performant as data grows.

Ideal candidates are pursuing an undergraduate degree in CS/DS, with hands-on Python and ML framework experience, and a willingness to learn in a fast-paced AI-driven environment.