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Lead a team of geographically dispersed professionals who will have responsibilities for prototyping and deploying solutions for the enterprise; Areas of expertise will include applied mathematics & statistics, machine learning operations, data engineering, software development, modelling & simulations.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Lead, motivate, and mentor a diverse team of professionals, fostering a culture of accountability, collaboration, and continuous learning.
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Serve as a trusted advisor to decision-makers, offering consultative insights on how the Nvidia DGX AI platform and machine learning can be applied to their biological data challenges.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
$6,336 a monthPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics, and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
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Experience with conducting research and the implementation of the latest advancements in machine learning to analyze and process large-scale spatio-temporal data. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine learning applied mathematics jobs Title: research intern Company: Burlington Stores in Arlington, VA
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