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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering.
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We are seeking an experienced and dedicated Machine Learning Engineer to join this dynamic team on a fully remote basis. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
$230,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML). As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology.
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Draw on experience with Github, machine learning, advanced programming in SQL and Python, Cloud computing such as AWS, Google and Azure, Tableau, and Simio to design, develop and implement a broad array of business analytics that solve complex problems in a computationally efficient manner by leveraging advanced understanding of statistics and data science.
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We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, and Machine Learning model improvements.
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Formulate and refine existing strategies specific to RAG and chatbot capabilities, ensuring that they are aligned with the Service OKRs (Objectives and Key Results) and any complementary efforts in other digital channels, and that they leverage appropriate technologies and best practices in natural language processing, machine learning, and knowledge retrieval.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. ADP is hiring a DLP Engineer, focused on EMail and/or Network DLP.
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