Data & AI Engineer Intern: Build ML Pipelines

Cisco Systems, Inc.

San Jose (CA)

On-site

USD 27,552,000 - 48,216,000

Part time

3 days ago

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Job summary

The Cisco Product Internship Program offers a 12-week summer experience designed to welcome early-career talent into this mission. Interns will build data pipelines and ML workflows using Python to power real-world products.

You’ll develop, train, and deploy models using frameworks like PyTorch or scikit-learn, and orchestrate large-scale data solutions using Spark and Kubernetes. By joining Cisco, you’ll gain hands-on experience with distributed systems, ML deployment, and cloud platforms,

Qualifications

Currently enrolled in an undergraduate degree program (Associate's or Bachelor's).
Qualifying education should be 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
Experience deploying or productionizing a trained ML model, beyond coursework-level training and evaluation
Exposure to at least one cloud platform: AWS, Azure, or Google Cloud
Understanding of at least two of: scalability, reliability, fault tolerance, or data consistency
Working knowledge of at least two of: load balancing, consensus algorithms, or inter-service communication