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We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Alternative education and experience required: Bachelor's degree in Data Science, Machine Learning, Software Engineering, Statistics, Operations Research, or related field and 8 years of progressive, post-baccalaureate experience as Data Analyst or Scientist, Machine Learning Engineer, Statistician, Business Analyst, or related role.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience developing deep learning models in at least one of the following areas (CV, NLP, Reinforcement Learning) The role of Data Scientist will work on all aspects of the development cycle to help prototype, evaluate, deploy and maintain models that help enhance and differentiate Lytx as the leader in the Video Safety and Telematics industry.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are seeking a biologist with a strong understanding of therapeutic discovery and machine learning – particularly natural language processing (NLP) and large language models (LLMs) – to help guide and implement internal strategy for leveraging and developing such platforms.
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Experience building and using state of the art models such as deep learning in NLP or computer vision or similar application. As a Senior Data Scientist at WBD, you will take a key role in developing and deploying suites of machine learning models to predict content performance on Max, in turn driving business decision-making for our streaming platform.
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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Deep Learning Research : Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, TensorFlow. or software programmingSpring boot, Microservices, Docker, Jenkins and REST API's experienceExcellent written and verbal communication skillsFor data Science/Machine learning Positions.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Data Scientist is responsible for analyzing and interpreting large and complex data sets, developing predictive/ machine learning models, NLP techniques and communicating insights to various stakeholders.
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You have relevant experience with Language Models (Large LMs is a plus), NLP, large-scale systems and data sets, deep learning, or adjacent fields. You possess a BS/MS/PhD in Computer Science, Engineering, Machine Learning or a related scientific field or have equivalent experience.
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The Lead Data Science and Machine Learning (ML) executes Ontada’s technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration with Ontada commercial, chart abstraction and engineering teams.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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This role will utilize Machine Learning or NLP/LLM modeling to improve data impact and efficiency. IntePros is looking for a Data Scientist for our client located in Stamford, CT for a contract-to-hire opportunity.
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