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Machine Learning Engineer - ThousandEyes
Cisco
- United States
- United States
À propos
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end-user experiences. About The Role As an AI Engineer on the AI/ML team, you will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models. In this role, you will also be working on data collection design, data engineering, feature engineering, and eval frameworks. The size, diversity, and richness of our data are simply unmatched. The Internet is changing fast, and we are too. The objective of this initiative is to adopt a highly novel and ambitious approach for optimizing networks to better serve applications. What You'll Do You will work with a team of AI engineers to design, implement, and maintain large-scale AI/ML pipelines, including tuning and evaluating LLMs. You will be building evaluation frameworks and metrics and evaluating Deep Learning and transformer-based models and LLMs. Qualifications 1+ years of software development experience in building and evaluating ML models and delivering large-scale ML products. BS, MS or PhD in a relevant field Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions. Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow, and can leverage code as a strategic tool to shape innovative solutions You will be proficient in Python and will be able to transform abstract machine learning concepts into robust, efficient, and scalable solutions
Compétences linguistiques
- English
Avis aux utilisateurs
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