Cisco
AI Machine Learning Engineer II (Full Time) United States
Cisco, San Francisco, California, United States
AI Machine Learning Engineer II (Full Time) United States
Join Cisco’s dynamic engineering team building AI/ML solutions and collaborating with platform, security, release engineering, and support teams.
Your Impact
Develop and implement applications based on generative large language models such as GPT‑4, Claude, Llama and derivatives, ensuring they meet business requirements.
Optimize generative AI applications for performance, scalability and reliability.
Engage in red‑teaming activities to validate robustness and precision.
Stay up‑to‑date with the latest AI and machine learning advancements and suggest implementation of new technologies.
Design and develop APIs to facilitate interactions with AI models.
Address and resolve issues arising from AI applications.
Responsibilities
Collaborate with cross‑functional teams to capture, preprocess, and load data for model training; participate in model architecture discussions.
Develop, customize, and fine‑tune machine learning models and their layers to address business needs.
Conduct model training using predefined optimization techniques, including hyperparameter tuning.
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.
Minimum Qualifications
Recent bachelor’s degree (within 3 years) or current enrollment with expected completion in 12 months, or master’s degree with no prior experience required. Fields: Computer Science, Data Science, Statistics, Mathematics, Engineering or related.
Deep understanding of machine learning algorithms – supervised (classification, regression), unsupervised (clustering, dimensionality reduction), or semi‑supervised learning.
Preferred Qualifications
Experience deploying and scaling ML models using AWS, Google Cloud, Azure.
Experience with CI/CD pipelines, Docker, Kubernetes, and ML model monitoring.
Knowledge of big data technologies such as Hadoop, Spark, Kafka.
Skills in Go or Java for backend development and data science integration.
Background in generative AI, time‑series analytics, and cross‑functional delivery of production‑ready ML solutions.
Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era. We foster innovation, collaboration, and growth on a global scale.
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Your Impact
Develop and implement applications based on generative large language models such as GPT‑4, Claude, Llama and derivatives, ensuring they meet business requirements.
Optimize generative AI applications for performance, scalability and reliability.
Engage in red‑teaming activities to validate robustness and precision.
Stay up‑to‑date with the latest AI and machine learning advancements and suggest implementation of new technologies.
Design and develop APIs to facilitate interactions with AI models.
Address and resolve issues arising from AI applications.
Responsibilities
Collaborate with cross‑functional teams to capture, preprocess, and load data for model training; participate in model architecture discussions.
Develop, customize, and fine‑tune machine learning models and their layers to address business needs.
Conduct model training using predefined optimization techniques, including hyperparameter tuning.
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.
Minimum Qualifications
Recent bachelor’s degree (within 3 years) or current enrollment with expected completion in 12 months, or master’s degree with no prior experience required. Fields: Computer Science, Data Science, Statistics, Mathematics, Engineering or related.
Deep understanding of machine learning algorithms – supervised (classification, regression), unsupervised (clustering, dimensionality reduction), or semi‑supervised learning.
Preferred Qualifications
Experience deploying and scaling ML models using AWS, Google Cloud, Azure.
Experience with CI/CD pipelines, Docker, Kubernetes, and ML model monitoring.
Knowledge of big data technologies such as Hadoop, Spark, Kafka.
Skills in Go or Java for backend development and data science integration.
Background in generative AI, time‑series analytics, and cross‑functional delivery of production‑ready ML solutions.
Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era. We foster innovation, collaboration, and growth on a global scale.
#J-18808-Ljbffr