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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Cisco Systems, Inc. - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Salary:** $203,000.0 - $258,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, C++ (Programming Language), Cloud Computing, Data Transformation, Python (Programming Language), Knowledge Management, Machine Learning, Language Modeling, Natural Language Processing, Tensorflow, Azure Machine Learning, Software Engineering, Reinforcement Learning, Computer Networking Systems, Google Cloud, Pytorch, Large Language Models, Model Validation, Generative AI, AI Platforms, Scikit Learn, Information Technology, Deployment Automation, Multiaccess Edge Computing, Open Network Automation Platform, Cisco - **Published:** August 3, 2026 - **Apply:** https://dejobs.org/x/x/A9800E19C0864FEFA01F7F1FADEBDCF9/job/ ## About the Role * Bachelor's degree in computer science, Machine Learning, Mathematics, Statistics, or related field with 6+ years of software engineering experience, or Master's degree in a related field with 3+ years of experience. * Experience in Python, Java or C++, with experience in model development, training, and deployment. * Experience building enterprise grade AI Agents and Agentic workflows. * Experience with leading machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn along with data manipulation tools essential for the AI lifecycle. * Experience developing Large Language Models (LLMs), Natural Language Processing (NLP), or Generative AI techniques. * Experience working in cross-functional teams, deliver results in fast-paced environments, and effectively communicate technical concepts., * Experience working on (SLM) 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. * Experience on various AI cloud platforms such as AWS SageMaker, Google Cloud AI Platform, Azure ML or similar. * Strong written and verbal communication skills, with the ability to contribute to design discussions and documentation. * Excellent problem-solving skills, thinking outside of the box! ## Description Join Cisco's Customer Experience (CX) AI Incubation team to design and develop innovative AI-driven solutions that transform customer engagement and operational efficiency. You will work on cutting-edge use cases including delivery intelligence, knowledge management, network test automation, infrastructure testing, intelligence on edge, and DevOps automation. This role requires strong expertise in AI/ML, software development, and a passion for applying AI to real-world challenges. Join us to shape the future, cultivate lasting relationships, and ensure every interaction counts. What You'll Do * Contribute to the design and development of AI-ML based services collaborating with product management and engineering teams to deliver impactful, scalable AI solutions. * Analyze data, develop, validate, and deploy machine learning models that drive measurable improvements in operational efficiency and automation. * Build and fine-tune model architectures for natural language and perception-based tasks, applying best practices in model optimization and evaluation. * Work with techniques such as transformer architecture, distillation, and reinforcement learning to improve model performance, scalability, and reliability. * Support the training and fine-tuning of Large and Small Language Models (LLMs and SLMs) for domain- and task-specific applications. * Collaborate on the development and deployment of AI agents and applications, ensuring responsible, safe, and explainable AI behavior. * Stay current with emerging AI technologies and research to continuously improve solution quality and technical capability. * Contribute to best practices in model development and deployment. ## Related Videos - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Your Infrastructure Is Not a Playground: AI Agents for Infra Done Right](https://www.wearedevelopers.com/videos/2084-your-infrastructure-is-not-a-playground-ai-agents-for-infra-done-right) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)