Sr. AI/ML Machine Learning Engineer - CX
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Sr. AI/ML Machine Learning Engineer - CX
Cisco
San Jose / California
3-6 years
Today
$25.3K–31.3K/yr
Full-time
Hybrid
Skills Required
LLM
RAG
Gen AI
Agentic AI
Agentic workflows
Transformers
Machine Learning
NLP
Reinforcement Learning
TensorFlow
PyTorch
Scikit-learn
Python
Java
C++
Description
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.
Company: Cisco
Role: Sr. AI/ML Machine Learning Engineer - CX
Location: San Jose, California, United States of America | Hybrid
Experience
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
Qualification
Bachelor’s degree in computer science, Machine Learning, Mathematics, Statistics, or related field
Master’s degree in a related field
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
Additional Responsibilities
Support operational efficiency and automation through AI solutions
Ensure scalable AI solutions for customer engagement
Contribute to technical capability and solution quality
Nice To Have
Experience working on Small Language Model development
Experience with Cisco networking and security technologies
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
More Skills
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
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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
Qualifications
- Bachelor’s degree in computer science, Machine Learning, Mathematics, Statistics, or related field
- Master’s degree in a related field
Skills mentioned
About Cisco
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