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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Vous développez et contribuez à des projets IA en appliquant des techniques de l’état de l’art en Machine Learning, Deep Learning, statistiques, NLP et Renforcement Learning (Python, Spark.
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Provide feedback and guidance to Machine learning/NLP engineers to improve accuracy. Provide training data to Machine learning/NLP engineers to establish Ground Truth data.
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Data Scientist - NLP, ML & Deep Learning. Understanding of Core machine learning algorithms and deep learning architectures. Machine Learning and Deep Learning: (Mandatory.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Currently has, or is in the process of obtaining, a PhD degree in Machine Learning (ML) Systems, Natural Language Processing (NLP), Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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Minimum of 2 years of experience implementing machine learning and NLP models using real-life (“industry”) data. You bring to this team environment a strong foundation in machine learning and deep learning, as well as the curiosity and grit to see a project to delivery.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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1+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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REQUIREMENTS: Must possess a Master's Degree in Computer Science, or related field and 3 years of experience as a Data Scientist, Machine Learning Engineer, or related occupation.
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Udemy is looking for a data scientist to join a team largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience. Partner with ML Engineers to troubleshoot and optimize complex machine learning and deep learning applications.
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2+ years of experience with Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLM) and/or Neural Networks. 2+ years of experience with the Machine Learning Development Life Cycle (MDLC.
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NLP models, Deep Learning models for image classification. Hands on experience in building Machine Learning and Artificial Intelligence models. Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree.
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