✦ Luna Orbit — Data & Analytics

Software Engineer Data/AI/Intelligent Systems I (Full Time) - United States

at Cisco Systems

Unknown 💰 $104K – $153K USD / year Posted March 13, 2026
Salary $104K – $153K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Bachelor's in Computer Science or related field or current enrollment with relevant experience
Category Data & Analytics

This role involves developing scalable data pipelines and supporting AI/ML projects within Cisco's data infrastructure environment.

  • Build data pipelines
  • Develop AI/ML models
  • Maintain data infrastructure
  • Collaborate on data projects
  • Support cloud-based data solutions

The position requires expertise in Python, machine learning frameworks, distributed data processing technologies, and containerization tools to build and maintain data and AI systems.

The ideal candidate is a data engineer or AI/ML engineer with strong Python skills and experience with distributed data processing frameworks like Spark and Hadoop. They should have familiarity with cloud platforms and a passion for building scalable data pipelines and machine learning infrastructure.

PythonMachine Learning frameworksDistributed data processing
AWSAzureGoogle CloudAI/ML
TensorFlowPyTorchscikit-learnApache SparkHadoopFlinkDockerKubernetesAWSAzureGoogle Cloud
PythonTensorFlowPyTorchscikit-learnApache SparkHadoopApache FlinkDockerKubernetesData PipelinesMachine LearningData Engineering
PythonTensorFlowPyTorchscikit-learnApache SparkHadoopApache FlinkDockerKubernetesData PipelinesMachine LearningData Engineering
CollaborationProblem-solvingInnovationAttention to detailTeamwork

Preferred

AWS Certified Machine Learning - SpecialtyGoogle Cloud Professional Data EngineerAzure Data Scientist Associate
Industry Technology / SaaS / Cloud
Job Function Data engineering and AI/ML infrastructure development
Software Engineer Data/AI/Intelligent SystemsPythonTensorFlowPyTorchscikit-learnApache SparkHadoopApache FlinkDockerKubernetesData PipelinesMachine LearningData EngineeringAI/MLCloud PlatformsDistributed Data Processing

Lack of Python or ML frameworks experience, No experience with distributed data processing, No cloud platform familiarity, Insufficient data pipeline experience

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