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Experience in Machine, and Deep Learning frameworks, model validation and deployment tools, data pipeline technologies, and visualization and data storytelling tools (R, Tableau, Jupyter, etc.
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Deep understanding of NLP fundamental concepts and models, such as language modeling, word embeddings, topic modeling, text categorization, information extraction, natural language understanding, transfer learning.
$152,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong proficiency in Python and experience with relevant NLP & deep learning libraries (e.g. TensorFlow, PyTorch, spaCy) This is an exciting opportunity to be the first Data Scientist at a rapidly scaling company and work closely with our CTO and VP of Product.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX. - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
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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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You have a deep understanding of the foundations of statistics, applied mathematics, machine learning, and experimentation. Experience in metric development, machine learning, statistical modeling, time series forecasting, and designing experiments in a production environment.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Acting as a bridge between technical and marketing teams to translate complex technical concepts into clear and compelling B:B messaging that resonates with the target audience at the strategic (CxO, CIO/CDO, CDAO, CISO, etc) and practitioner level (data scientist, cloud architects, storage engineers, etc.
$135,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. 2+ years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discrimination methods, feature extraction and analysis, supervised learning.
$82,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Deep skillset involved in Machine learning including Random Forest, NN, Clustering. This is the perfect opportunity for an experienced Data Scientist looking for an opportunity for clear upwards progression and a chance to help the business make real-time decisions.
$150,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning. As the Principal Applied Scientist in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency.
$156,000 - $264,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
deep learning scientist jobs in Englewood, CO
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