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We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
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As a Senior Engineer on the Core Datateam, you will help to develop internal tools to empower the Data Science and Machine Learning Engineers to refine Blockchain Data into Blockchain Intelligence at petabyte scale.
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Experience applying a range of 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 exploration.
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We conduct preclinical discovery and clinical development campaigns to generate new therapeutics and clinical strategies from these proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality throughautomation and machine learning.
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As a Data Scientist for the team's machine learning work, you will work closely with the tech lead for this area on significant components of larger projects. Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.
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Formulate, research, prototype, and evaluate data science-based approaches to solving a given business challenge utilizing expertise in machine-learning, data mining, and information retrieval. Knowledge of machine learning, statistics, optimization and/or related field.
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To monitor patients before, during and after dialysis treatment including measuring and recording stats, patient observations, and hemodialysis machine setup. Health care experience a plus including: BONENT Certified, Certified Hemodialysis Technician (CHT), Certified Nursing Assistant (CNA), Certified Medical Assistant (CMA), or Phlebotomy certification.
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Demonstrated expert knowledge in operations research and rigorous methods of scientific inquiry and analysis to include statistical analysis, machine learning, computer science, programming, and data storytelling.
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Custom Engineering is a heavy fabrication, welding, and machine shop conveniently located less than a mile off the Bayfront Parkway on McClelland Ave. Our ability to complete complex jobs both long-run and short-run, top-of-the-line machinery, and outstanding quality allow us to serve many industries including oil & gas, construction, mining, transportation, power generation, and entertainment.
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Titles can be arbitrary, but for us this means a software engineer who writes code, builds infrastructure, and implements machine learning algorithms. Exclusively focused on technical consulting around production-scale machine learning.
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Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications. Knowledge of data governance and security practices specific to Databricks, AWS and Google Cloud, including IAM (Identity and Access Management), encryption, and access control.
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Strong expertise in statistical and machine learning, focusing on time series forecasting using classical models and deep learning approaches. We are looking for an experienced full-stack data scientist to develop machine learning models that drive strategic decision-making and optimize revenue.
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Understanding of machine (Laser/Punch/Brake) programming a plus (TruTops preferred) About Us: F3 Metalworx was formed through the combination of three companies with more than 80 years of combined experience - Wire Weld Store Fixtures, Arvite Precision Sheet Metal Fabrication and Cost Effective Coatings.
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Lyric's solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings.
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Machine Learning Data Engineer (Remote - US) Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines. Continuously work alongside machine learning engineers to gather requirements, propose solutions, and implement observable, repeatable, and scalable ML data pipelines.
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machine job Company: Facebook in Erie, PA
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