AI Operations Engineer

Meet the Team  Today’s challenging business environment is more than that – it’s a period of disruption between global business change and internal process complexity. For us to focus on simplicity and the best customer experience, we need great talent and the right skillsets to be successful. This is now a mantra for our Cisco leadership team and for us. Enterprise Data & AI Enablement team is changing the way we run Cisco’s operations by improving the power of technology, the best of business processes and outstanding data insights using AI. Together, we will Reimagine the Cisco experience. Show the world how to Reinvent applications and demonstrate the future of the Internet to Showcase the power of Cisco: our people, products, processes, systems, and data. Please join us and make this journey together ! Your Impact : As an AI/ML/LLM Engineer for Enterprise Data & AI Enablement team you will : Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication Build and optimize MLOps pipelines to streamline AI/ML workflows Integrate large language models (LLMs) into enterprise systems Contribute to technical decision-making for AI tools and frameworks Stay current on emerging AI technologies and contribute to proof-of-concept projects Data Processing and Management: Working with large datasets, preprocessing data, and ensuring its quality and accuracy for model training. Model Deployment and Monitoring Deploying machine learning models into production environments and continuously monitoring their performance, adjusting as needed. Staying Current with Advancements: Keeping up with the latest developments in AI and ML technologies, including new algorithms, frameworks, and best practices Minimum Qualifications: Bachelors + 6 years of related experience in AI/ML, or Masters + 4 years of related experience in AI/ML, or PhD + 0 years of related experience Proficiency in LangChain/LangGraph or other Orchestration and agentic workflow Hands-on experience with vector databases, building and fine tuning RAG pipelines Knowledge of hybrid search (semantic + keyword), reranking strategies, and "Context Window" management. Experience of using Tavily or other tools in conjunction with LLM for web research Familiarity with Google Vertex AI or other providers like AWS, Azure Knowledge in evaluating LLM based on task complexity and upgrade to newer models without loss of performance. Preferred Qualifications Implementing safety layers using guardrails to prevent hallucinations and PII leakage. Familiarity in building and deploying MCP Servers Knowledge to connect to a deployed MCP servers to orchestrate workflows. Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication    Experience in traditional NLP based techniques including text cleaning, text similarity, clustering Knowledge of using LLM with Grounding  Why Cisco?