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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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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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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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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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Senior Machine Learning Engineer - LLM, NLPs. 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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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) 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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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. Being on the bleeding edge of marketing technology and innovation means you will have an unparalleled opportunity for learning, along with personal and professional growth: there's never a dull moment here.
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Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
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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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3+ years of experience in the fields of Natural Language Processing, Dialog Systems, Contextual Understanding, Machine Learning, Deep Learning, Computer Vision.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications Key Qualifications Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining.
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HLSL) Experience with machine learning and neural network frameworks on GPUs in Linux Basic knowledge of deep learning frameworks and algorithms 3rd party and subcontract staffing agencies are not eligible for partnership on this position.
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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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Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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machine learning natural language processing deep engineer jobs Company: Penn Foster Inc
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