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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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They are seeking a highly skilled Bioinformatician with extensive experience in Large Language Models (LLMs) and Natural Language Processing (NLP) to join their cutting-edge team.
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We are looking for a highly skilled ML Engineer to join our R&D team, working on cutting-edge projects involving Natural Language Processing (NLP), Large Language Models (LLM), Computer Vision, Voice Synthesis, and more.
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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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A rapidly expanding AI-powered customer analytics company focused on delivering deep customer insights and personalized experiences using cutting-edge artificial intelligence, machine learning, and data science techniques.
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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
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In this specific position, the analyst will focus on models built in house and by third parties with machine learning and AI technologies primarily for the purpose of Natural Language Processing (NLP) and/or Generative AI.
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In-depth knowledge of Natural Language Processing concepts including transformer architecture and other generative AI technologies Strong computing and programming background and knowledge of one or more languages such as Python and Java Experience with ML/AI computing platforms and tools such as PyTorch, TensorFlow and Keras Experience with GPU programming, multi-core, or distributed programming.
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PhD or Master’s degree in Computer Science, Machine Learning, Bioinformatics, Computational Biology, or a related field. Use techniques such as deep learning, natural language processing (NLP), and reinforcement learning to tackle problems in protein structure prediction, gene expression, and drug-target interactions.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
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Serving as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.
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Spectrum Search is partnering with an innovative online application that revolutionises insurance claims processing by integrating intelligent data, workflows enhanced with legal expertise, machine learning, and natural language processing.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. PhD in Engineering or Science with preference in Quantum Computing, Physics, Electrical Engineering, or Computer Science.
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