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Open nowFirst seen 22 hours ago

Software Engineer Data/AI/Intelligent Systems

Info Resume Edge131 open roles

Where
San Francisco, California, United States
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Your applicationOpen nowSoftware Engineer Data/AI/Intelligent SystemsInfo Resume Edge · San Francisco, California, United States

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 22 hours ago

The posting

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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