ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallelprocessing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. More ❯
ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallelprocessing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. More ❯
ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallelprocessing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. More ❯
extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the state- of- the-art parallelprocessing and machine learning algorithms to evaluate millions of products every day and identify and prioritize new additions to Amazon's catalog efficiently. If you are customer obsessed More ❯
predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days in the office Responsibilities: Develop and implement machine learning models using Spark ML for … Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. Experience with deploying ML models in production environments. Understanding of distributed computing concepts and parallel processing. More ❯
predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days in the office Responsibilities: Develop and implement machine learning models using Spark ML for … Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. Experience with deploying ML models in production environments. Understanding of distributed computing concepts and parallel processing. More ❯
London based IP and software company, is dedicated to improving data compression by building a vast portfolio of innovative technologies based on the game-changing use of AI and parallelprocessing for data, video, imaging, and point cloud compression, with applications across several verticals. This is achieved through deep-science R&D (300+ international patents) and the development More ❯
