Data & AI Intern: Build ML Pipelines

Cisco Systems, Inc.; San Jose (CA); On-site; USD 44,000 - 185,000; Full time

Job summary

Cisco Systems, Inc. invites you to join its Product Internship Program, a 12-week summer experience designed to immerse early-career talent in high-impact teams building data-driven AI platforms.

You'll build data pipelines and ML models using Python, train and deploy models with TensorFlow, PyTorch, or scikit-learn, and scale solutions with Spark and Kubernetes.

This internship emphasizes hands-on projects, learning sessions, networking, and exposure to leaders across product engineering.

Qualifications

• Enrolled in an undergraduate or master’s program with the stated work experience.
• Proficient in Python with at least one project.
• Exposure to ML frameworks: TensorFlow, PyTorch, or scikit-learn.
• Experience with big data/distributed tools: Spark, Hadoop, or Flink.
• Hands-on experience with deployment/orchestration tools: Docker or Kubernetes.
• Continue enrollment in degree program after internship.

Responsibilities

• Build data pipelines and ML workflows using Python.
• Develop, train, and deploy ML models with common frameworks.
• Scale data solutions with Spark and Kubernetes to power AI platforms.

Skills

Python

ML Frameworks

Spark/Hadoop

Docker/Kubernetes

Data Pipelines

Education

Undergrad + 2y

Master + 0y

Tools

Docker

Kubernetes

Job description

Cisco Systems, Inc. invites you to join its Product Internship Program, a 12-week summer experience designed to immerse early-career talent in high-impact teams building data-driven AI platforms.

You'll build data pipelines and ML models using Python, train and deploy models with TensorFlow, PyTorch, or scikit-learn, and scale solutions with Spark and Kubernetes.

This internship emphasizes hands-on projects, learning sessions, networking, and exposure to leaders across product engineering.