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Info Resume Edge

Software Engineer Data/AI/Intelligent Systems

Info Resume Edge

81d ago

0DevUnited Stateshimalayas
Software-EngineeringMachine-Learning-EngineeringData-EngineeringAI-EngineeringData-Pipeline-DevelopmentAI-ML-Software-EngineerSoftware-Data-EngineerData-And-AI-EngineerData-+-AI-EngineerSenior-Software-AI-EngineerAI-ML-Data-EngineerAI-Data-EngineerMid-level

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 pipelinesDesign robust analytics platformsBuild infrastructure to support machine learning initiativesSolve complex challenges with innovation and attention to detailBuild and maintain key software tools and platformsRequiredCompletion 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 experienceProficiency in Python, with a strong understanding of fundamental data structuresHands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learnFamiliarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache FlinkExperience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloadsPreferredHands-on experience with AI/MLFamiliarity with major cloud platforms, such as AWS, Azure, or Google CloudUnderstanding 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