Software Engineer Data/AI/Intelligent Systems

Info Resume Edge

  • San Francisco, California
  • 30+ days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationSan Francisco, California
    Websitehttps://www.inforesumeedge.com

    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)

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