Cisco is a leading technology company revolutionizing how data and infrastructure connect and protect organizations in the AI era. The role involves developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives within a collaborative team focused on AI-driven platforms and data infrastructure.
Responsibilities:
- Develop scalable data pipelines
- Design robust analytics platforms
- Build infrastructure to support machine learning initiatives
- Contribute to the growth of emerging technologies in data and intelligent systems
- Enable Cisco’s business groups to leverage AI and data-driven insights for operational excellence and strategic growth
- Ensure high-quality, reliable data infrastructure that supports Cisco’s leadership in intelligent, scalable technology solutions
Requirements:
- Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College or 4-Year University with 2 years of relevant experience) or currently enrolled in a graduate degree program with 0 years of relevant experience
- 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, as well as familiarity with distributed computing patterns (e.g., load balancing, consensus algorithms, and inter-service communication)