AI Machine Learning Engineer II

AI Machine Learning Engineer II (Full Time) – United States

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We are seeking an AI/ML engineer to join a dynamic engineering team, collaborating closely with platform, security, release engineering, and support teams to deliver AI/ML solutions.

You will join a dynamic engineering team that builds AI/ML solutions and works closely with various departments, ensuring smooth operation and continuous improvement.

In this role, you will develop and implement applications based on generative large language models (GPT‑4, Claude, Llama, etc.), optimize performance, scalability, and reliability, engage in red‑team testing, stay current with AI advances, suggest new technologies, design APIs for model interaction, and resolve production issues.

• Collaborate with cross‑functional teams to capture, preprocess, and load data for model training, and participate in model architecture discussions.
• Develop, customize, and fine‑tune machine learning models to meet business needs.
• Conduct model training and hyperparameter tuning to ensure alignment with problem statements.
• Evaluate model performance using standard metrics and contribute to end‑to‑end automation and deployment.
• Write high‑quality, production‑ready code for platform‑based deployment, support embedded engineering teams in deploying models, and meet business objectives.

• Bachelor’s degree completed within the past 3 years, or current enrollment with expected completion within 12 months, or Master’s degree completed or expected, in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field, and at least 2 years of relevant experience.
• Deep understanding of supervised, unsupervised, and semi‑supervised learning algorithms.

• Experience deploying and scaling ML models using AWS, Google Cloud Platform, or Azure.
• Experience with CI/CD pipelines, Docker, Kubernetes, and ML monitoring tools.
• Knowledge of big data technologies such as Hadoop, Spark, and Kafka.
• Proficiency in Go or Java for backend development and integration with data science applications.
• Background in generative AI and time‑series analytics through coursework, research, publications, or industry experience.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era. We offer a collaborative culture, opportunities for growth, and meaningful impact on global technology.