Sr. AI/ML Machine Learning Engineer - CX

About the role

Cisco is hiring a Senior AI/ML Machine Learning Engineer for the CX AI Incubation team. The role focuses on building scalable, responsible AI-driven solutions for customer experience and operational efficiency.

Responsibilities

• Design and develop AI-ML based services with product management and engineering teams
• Analyze data, develop, validate, and deploy machine learning models
• Build and fine-tune model architectures for natural language and perception-based tasks
• Use transformer architecture, distillation, and reinforcement learning to improve model performance, scalability, and reliability
• Support training and fine-tuning of LLMs and SLMs for domain- and task-specific applications
• Develop and deploy AI agents and applications with responsible, safe, and explainable behavior
• Stay current with emerging AI technologies and research
• Contribute to best practices in model development and deployment
• Work on delivery intelligence, knowledge management, network test automation, infrastructure testing, intelligence on edge, and DevOps automation
• Support operational efficiency and automation through AI solutions
• Ensure scalable AI solutions for customer engagement
• Contribute to technical capability and solution quality

Requirements

• 6+ years of software engineering experience with a Bachelor’s degree, or 3+ years with a Master’s degree
• Experience in Python, Java, or C++
• Experience in model development, training, and deployment
• Experience building enterprise grade AI Agents and Agentic workflows
• Experience working in cross-functional teams and fast-paced environments
• Experience effectively communicating technical concepts
• Bachelor’s degree in computer science, Machine Learning, Mathematics, Statistics, or related field
• Master’s degree in a related field

Nice to have

• Experience working on Small Language Model development
• Knowledge of network automation and AI-based anomaly detection
• Familiarity with AI-driven DevOps automation and model observability
• Exposure to edge computing environments
• Strong written and verbal communication skills
• Ability to contribute to design discussions and documentation
• Excellent problem-solving skills

Skills

• LLM
• RAG
• Gen AI
• Agentic AI
• Agentic workflows
• Transformers
• Machine Learning
• NLP
• Reinforcement Learning
• TensorFlow
• PyTorch
• Scikit-learn
• Python
• Java
• C++
• AI/ML
• software development
• model development
• model training
• model deployment
• Large Language Models (LLMs)
• Small Language Models (SLMs)
• Natural Language Processing (NLP)
• distillation
• data manipulation tools
• model optimization
• model evaluation
• AI cloud platforms
• AWS SageMaker
• Google Cloud AI Platform
• Azure ML
• network automation
• AI-based anomaly detection
• AI-driven DevOps automation
• model observability
• edge computing
• Cisco networking and security technologies