Cisco is looking to solve the problem of building the future of AI-driven platforms and data infrastructure, supporting innovation across the globe, and transforming how Cisco and its customers harness information and intelligent automation.
Requirements
- Proficiency in Python, with a strong understanding of fundamental data structures
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink
- Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads
- Hands-on experience with AI/ML
- Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud
- Understanding of distributed systems concepts, including scalability, reliability, fault tolerance, and data consistency
Responsibilities
- Developing scalable data pipelines
- Designing robust analytics platforms
- Building infrastructure to support machine learning initiatives
- Building and maintaining key software tools and platforms
- Enabling Cisco’s business groups to leverage AI and data-driven insights for operational excellence and strategic growth
- Ensuring high-quality, reliable data infrastructure that supports Cisco’s leadership in intelligent, scalable technology solutions
- Solving complex challenges with innovation and attention to detail
Other
- Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program
- Bachelor’s + 0 years of relevant experience
- High School Diploma + 2 years of relevant experience
- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- Non-exempt employees receive 16 days of paid vacation time per full calendar year
