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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. Strong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies.
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Industry experience using TensorFlow or Pytorch, and open-source software libraries to develop Representation Machine Learning Systems, e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Large Language Models; Image understanding; Document classification and keyword extraction.
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Minimum of 2 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy – Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects. Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Extensive experience with business intelligence tools, such as Tableau and Looker. Exposure to AI, Deep Learning, Neural Networks, NLP. Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally.
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Business intelligence tools (e.g., Tableau, Knime, Looker) Deep understanding and knowledge of data structures and software engineering principles. You will be asked to provide our business with insight and our customers with world-class personalized experiences.
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We're seeking a Business Intelligence Lead with a strong background in healthcare data operations and a passion for data quality and process improvement. As a Business Intelligence Engineer for CenterWell Primary Care, you can directly impact patient care and outcomes through your work.
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Deep knowledge of machine learning, both theory and application. When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
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Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
$138,700 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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LLM Knowledge: Deep understanding of LLM architectures (e.g., Transformers), training techniques, and inference optimization strategies. Programming Skills: Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers.
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Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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