Job description
Cisco is a leading technology company focused on revolutionizing data and infrastructure in the AI era. The role involves developing scalable data pipelines and building analytics platforms to support machine learning initiatives, enabling Ciscos business groups to leverage AI for operational excellence.
Develop scalable data pipelines
Design robust analytics platforms
Build infrastructure to support machine learning initiatives
Solve complex challenges with innovation and attention to detail
Build and maintain key software tools and platforms
Required
Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associates, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelors + 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
Preferred
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)
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.