AI Data Engineer Intern: Build Scalable ML Pipelines

Cisco; San Francisco (CA); On-site; USD 55,000 - 62,000; Full time

Job summary

Cisco’s Product Internship Program offers a 12-week summer experience to welcome early-career talent into our AI-driven mission. Interns join high-impact teams, contribute to products and architectures, and participate in learning sessions and leadership engagement.

You'll work on building data pipelines, training and deploying ML models, and collaborating with teams across AI software, platforms, and engineering to gain hands-on experience and grow a long-term career at Cisco.

Qualifications

• Pursuing undergrad/masters in CS, data science, statistics, applied math, or related field.
• Proficient in Python; demonstrated projects in academic or personal settings.
• Exposure to ML frameworks: TensorFlow, PyTorch, or scikit-learn.
• Experience with big data/distributed tools: Spark, Hadoop, or Flink.
• Hands-on with deployment/orchestration tools: Docker or Kubernetes.

Responsibilities

• Build data pipelines and ML workflows powering real-world products.
• Develop, train, and deploy models using standard ML frameworks.
• Orchestrate scalable data solutions and ensure platform reliability.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Flink

Docker

Kubernetes

Education

Undergraduate degree (CS/DS/Statistics/Applied Math)

Master's degree (0 years experience)

Tools

Docker

Kubernetes

Job description

Cisco’s Product Internship Program offers a 12-week summer experience to welcome early-career talent into our AI-driven mission. Interns join high-impact teams, contribute to products and architectures, and participate in learning sessions and leadership engagement.

You'll work on building data pipelines, training and deploying ML models, and collaborating with teams across AI software, platforms, and engineering to gain hands-on experience and grow a long-term career at Cisco.