Data Labeler- CX

The application window is expected to close on: May 7, 2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team

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. CX Platform is a platform-centric 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.

Your Impact

You are adept at problem-solving and thrive in a collaborative environment, working seamlessly with cross-functional teams to translate business requirements into technical solutions. Your commitment to continuous learning keeps you at the forefront of AI advancements, and you are proactive in applying new knowledge to enhance existing systems.

• Develop and implement applications, agents and assistants on generative large language models such as Mistral, Cohere, GPT4, Llama and their derivatives, ensuring they meet business requirements.
• Optimize generative AI applications, agents and assistants for performance, scalability, and reliability; 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.

Minimum Qualifications:

• Bachelor's degree in STEM with 7+ years of experience in AI, Data Science or similar; Master's degree in STEM with 4+ years of experience in AI, Data Science or similar OR a PhD in STEM with 1+ years of experience in AI, Data Science or similar
• 5+ years of programming experience with Python, R, or Go
• 2+ 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

Preferred Qualifications

• 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 structure 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