Senior Machine Learning Engineer Ai

Build production AI with Python, deep learning, and LLM agents at Workday, shaping enterprise applications through scalable machine learning systems.As a Senior Machine Learning Engineer, you will develop applied machine learning, Generative AI, and NLP solutions. You will work across data extraction, feature engineering, model training, deployment, optimization, and monitoring. Collaboration spans Data Scientists, Software Engineers, Product Managers, and UX Designers.Key Responsibilities:
Architect scalable machine learning models and AI systemsOwn the complete machine learning lifecycle in productionTranslate business problems into robust AI solutionsEstablish MLOps practices and optimize engineering codeMentor engineers and conduct architecture reviewsRequirements:
Seven or more years in software engineering and applied machine learningExpert Python and strong software engineering fundamentalsHands-on PyTorch, TensorFlow, Scikit-learn, or Hugging Face experienceProduction deployment experience with scalable, high-traffic systemsAWS or GCP, Docker, and Kubernetes experienceApply machine learning, Python, MLOps, and responsible AI practices to Workday’s enterprise technology.
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