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Cisco ASIC Design Engineer United States, California, San Jose 135275241
29.04.2025
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What You Will Do
- Help to define and implement the Cisco Network Platform data science team's AI/ML priorities while collaborating with product managers, AI architects, designers, user researchers and engineering partners
- Explore, design and implement sophisticated models and model architectures
- Understand the data and schema to make recommendations for data models, evaluation and governance process.
- Establish the best approach for model integration and deployment using CI/CD principles
- Evaluate the performance of AI models and systems through rigorous testing, online and offline experimentation, and benchmarking
- Use your ingenuity and creativity to resolve complicated and/or novel product and engineering challenges
- Influence architectural decisions with a focus on security, scalability, and high-performance
- Collaborate with data science and full stack teams across the Cisco Network Platform organization to define and build features across the product portfolio
- Work with managers and cross-functional teams to design team objectives and key results
- Supervise team members’ technical designs and set the standard for modeling and code quality
- Mentor team members by providing technical guidance
- 8+ years related industry experience, or equivalent time in relevant Masters or PhD programs
- Experience programming in Python or Scala and writing queries in SQL
- Experience designing and implementing large scale machine learning frameworks and models
- Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc
- Experience implementing and monitoring scalable data and machine learning pipelines
- Experience working with distributed computing engines like Apache Spark, etc and real time data streaming services like Apache Kafka or Amazon Kinesis
- Experience in designing, deploying, and securing cloud-based AI/ML infrastructure (AWS Preferred)
- Experience in containerization technologies (e.g. Docker), orchestration platform (e.g. K8s), and CI/CD framework (e.g. GitLab)
- Strong written and verbal communication skills and excellent attention to detail and accuracy
- Experience with GenAI framework like LangChain, Jarvis, Amazon Bedrock etc.
- Experience maintaining scalable MLOps platforms and supporting production systems to minimize customer downtime.
- Analytics or AI/ML experience within the networking domain
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