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Core Competencies
Role fitCore 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, ensuring scalable and reliable data processing solutions.
Highest-signal resume keywords
Python ProgrammingMachine Learning Model DeploymentBig Data Tools (Spark, Hadoop)Containerization (Docker, Kubernetes)Cloud Platforms (AWS, Azure, Google Cloud)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMachine LearningData StructuresPyTorchScikit-learnSparkKubernetesDockerAWSAzure
Soft Skills
CollaborationNetworkingEngagement
Tools & Technologies
TensorFlowHadoopFlink
Industry Keywords
Data PipelinesDistributed SystemsScalabilityReliabilityFault Tolerance
Tech Stack
Tools & technologiesAWSAzureCloudDistributed 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
- Ensure platforms remain performant and reliable while processing data at scale
- Drive insights that fuel Cisco’s AI-driven products
- Collaborate directly with teams on products, platforms, and architectures
- Participate in targeted learning sessions, multifunctional networking, and engagement with leaders across Cisco
Requirements
What you’ll need- Currently enrolled in an undergraduate degree program (Associate's or Bachelor's) with 2 years of work experience, or a Master's degree program with 0 years of work experience
- Qualifying 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 grants of Cisco restricted stock units, vesting following continued employment
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- Paid birthday day off
- 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 eligible 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 annually
- 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 policies
- 12-week summer internship experience
- Targeted learning sessions, multifunctional networking, and engagement with organizational leaders
