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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Experience with machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Deep knowledge and experience of managing, orchestrating, and monitoring distributed production systems.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ability to work with/in Supervised and Unsupervised Learning, Deep Learning Networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and/or Software/ML Tools.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications.
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Generates analytical and data insights to drive business actions using SQL, Qlik/Tableau, Python, and R. Creates complex, automated analytics solutions using Text Mining and Natural Language Processing (NLP) tools.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Job Summary: As a member of the Algorithms and Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational life sciences. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Experience with natural language processing for legal applications. Contributions to open-source projects. Proven track record of research in NLP and GenAI, evidenced by publications, patents, or software releases.
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Experience with Natural Language Processing (NLP), semantic search and understanding of text processing techniques. SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern distributed system and cloud operational infrastructure.
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The ideal candidate will bring experience in molecular modeling of proteins and protein complexes, structure-based design tools, and state-of-the-art deep learning approaches, helping us unlock the potential of molecular mimicry for therapeutics development.
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machine learning natural language processing open source deep jobs Title: research associate in Boston, MA
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