Job Summary

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 !

Responsibilities

- 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 current 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.
- Experience in traditional NLP based techniques including text cleaning, text similarity, clustering
- Knowledge of using LLM with Grounding

Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

- be in direct response to an application you have submitted through the company career site
- begin with screening or an interview
- originate from a Cisco email address
- be conducted across email, phone, or WebEx

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than official Cisco careers site, do not provide any personal identifying information.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Operations Engineer (Hyderabad)
🏢 Cisco
📍 Hyderabad