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)

Requirements

Must-haves

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
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

Nice-to-haves

Hands-on experience with AI/ML
Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythondockerkubernetesmlawsazure

Platform: manatal
Effort: medium