Data Labeler- CX

Cisco-posted 8 months ago
Computer and Electronic Product Manufacturing
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Cisco's Customer Experience (CX) organization is one of the company's fastest-growing and most innovative teams, crafting a first-in-class digital experience for our customers and partners everywhere they connect with Cisco. The CX Platform is a platform-centric initiative to support the diverse requirements of the CX organization and is being built with emerging technologies including predictive AI and generative AI to drive additional customer success. We are at the epicenter of developing with modern, cloud-native technologies that allow us to stay agile and adaptable in a constantly evolving market. Pioneers in our field, CX enables customers to maximize value with a simple, unified Cisco experience, driving accelerated time to impact. We deliver on time with high quality & urgency, and we drive decisions with data and transparency while leading with ownership & accountability.

  • Develop and implement applications, agents, and assistants on generative large language models such as Mistral, Co, GPT, Llama and their derivatives, ensuring they meet business requirements.
  • Optimize generative AI applications, agents, and assistants for performance, scalability, and reliability; conduct red teaming to validate application robustness and precision.
  • Develop APIs for AI model interaction based on the business use cases requirements.
  • Implement Generative AI techniques like RAG, RAFT, and fine-tuning for inference and AI model customization.
  • Leverage Natural Language Processing and Large Language Model (NLP and LLM) techniques to drive insights from structured and/or unstructured text data.
  • Build clear documentation for developed models, applications, agents, assistants, and systems for internal and external use.
  • Engage and own the lifecycle of the AI applications, including design, implementation, and sustenance.
  • Bachelor's degree in STEM with 5+ years of experience in AI, Data Science or similar; Master's degree in STEM with 3+ years of experience in AI, Data Science or similar OR a PhD in STEM with 0+ years of experience in AI, Data Science or similar.
  • 5+ years of programming experience with Python, R, or Go.
  • 5+ years of professional experience using machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-Learn etc.) for model selection, tuning, data visualization, data preprocessing, or evaluation.
  • Professional experience fine-tuning Natural Language or Large Language Models.
  • Familiarity with data science toolkits like Pandas, NumPy, or SciPy.
  • Understanding of vector databases like Milvus, Pinecone, Weaviate, Atlas Mongo for similarity search in AI applications.
  • Understanding of graph databases like Neo4j for entity modeling and relationship search in AI applications (including vectorization).
  • Experience with structured data interactions from Gen AI models and associated SQL tools.
  • Understanding of big data and streaming technologies (e.g., Spark, Kafka).
  • Analytics skills for data interpretation.
  • Experience with cloud platforms like Google AI Platform, Azure AI or AWS.
  • Experience using LangChain or techniques like RAGs (Retrieval-Augmented Generation) or RAFT (Retrieval-Augmented Fine-Tuning) to build context-aware language models.
  • Dedicated paid time off to volunteer—hours each year—allows us to give back to causes we are passionate about.
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