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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining. Experience with Large Scale Data-Mining and/or Machine learning are a plus.
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Minimum Qualifications Key Qualifications Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining. Experience with Large Scale Data-Mining and/or Machine learning.
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Advanced proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools.
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Machine Learning Engineer - Demand Forecasting (TikTok Global E-Commerce Supply Chain And Logistics)
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Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain and logistics of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods.
$194,750 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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1-3 years of hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, content understanding or multimodal machine learning.
$221,760 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
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Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial, and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID.
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Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects. Support execution of machine learning projects by collecting data, performing model training, evaluating performance, analyzing results and developing code.
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Relevant professional experience with machine learning, data mining, data analysis, distribution system. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. We are a collaborative team of machine learning engineers and scientists, responsible for Amazon Search quality world-wide.
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Preferred Skills: Desired background and/or expertise includes data mining, statistics, machine learning, computer programming, artificial intelligence, and mathematics. The participant will learn basic machine learning methods and integrate recent EPA data science resources into LSL research.
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Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
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Implement large scale data processing for model pre-training and fine-tuning. best toys for on the go" or "cheap plus size summer pajamas". You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son.
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learning data mining jobs Title: machine learning
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