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Cisco

Software Engineer, Data & AI – Intern

Cisco

. Build data pipelines and machine learning workflows using Python .

Posted 9/22/2026internshipUnited StatesEntry Level💰 $44,000 - $185,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in building data pipelines and machine learning workflows using Python, with hands-on experience in deploying models using frameworks like PyTorch or scikit-learn. Familiarity with big data tools such as Spark and Kubernetes, along with a solid understanding of scalability and reliability in data processing.

Highest-signal resume keywords
Python ProgrammingMachine Learning Model DeploymentSpark OrchestrationKubernetes ManagementData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonMachine LearningData StructuresPyTorchScikit-learnSparkDockerHadoopFlinkAWS
Tools & Technologies
KubernetesDockerAWSAzureGoogle Cloud
Industry Keywords
Data ScienceStatisticsApplied MathematicsDistributed SystemsFault ToleranceData Consistency

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsDockerHadoopKubernetesMapReducePythonPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact
  • Build data pipelines and machine learning workflows using Python
  • Develop, train, and deploy machine learning models using PyTorch or scikit-learn
  • Orchestrate large-scale data solutions using Spark and Kubernetes
  • Build and scale intelligent data pipelines and distributed systems
  • Help ensure platforms remain performant and reliable while processing data at scale
  • Participate in a 12-week summer internship embedded within high-impact Cisco product teams
  • Collaborate directly on products, platforms, and architectures
  • Participate in targeted learning sessions, multifunctional networking, and engagement with organizational leaders

Requirements

What you’ll need
  • Currently enrolled in an undergraduate degree program (Associate's or Bachelor's)
  • Education in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
  • Expected to continue enrollment in the degree program after completing the internship
  • Proficiency 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
  • Preferred: experience deploying or productionizing a trained ML model beyond coursework-level training and evaluation
  • Preferred: exposure to AWS, Azure, or Google Cloud
  • Preferred: understanding of at least two of scalability, reliability, fault tolerance, or data consistency
  • Preferred: working knowledge of at least two of load balancing, consensus algorithms, or inter-service communication

Benefits

Comp & perks
  • Medical, dental and vision insurance
  • 401(k) plan with a Cisco matching contribution
  • Paid parental leave
  • Short- and long-term disability coverage
  • Basic life insurance
  • Potential Cisco restricted stock unit grants, subject to eligibility and continued employment
  • 10 paid holidays per full calendar year
  • 1 floating holiday for non-exempt employees
  • Paid day off for employee’s birthday
  • Paid year-end holiday shutdown
  • 4 paid days off for personal wellness
  • 16 days of paid vacation per full calendar year for non-exempt employees
  • Flexible vacation time off program for exempt employees
  • 80 hours of sick time off provided on hire date and each January 1st thereafter
  • Up to 80 hours of unused sick time carried forward
  • Additional paid time away for critical or emergency family issues
  • Optional 10 paid volunteer days per full calendar year
  • Annual bonuses for non-sales roles, subject to Cisco’s policies