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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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5+ years of experience in machine learning engineering, data science, or a related field. Knowledge of machine learning algorithms, statistical modeling, and data structures.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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7+ years of experience building machine learning and data science applications. Build data science pipeline and platform capabilities for large-scale real-world evidence (RWE) studies and health economic analyses.
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Mathematical foundations for AI, such as linear algebra, calculus, and statistics, plus algorithms specific to machine learning and data processing. Strong grasp of AI principles, including machine learning, deep learning, natural language processing, and computer vision, along with their applications.
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Performs manual and machine operator tasks related to the set-up, maintenance, and operation of the die cutter. Machine Operator (Die Cutter) Job Overview: The Machine Operator will operate all aspects of a die cuttings machine.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Our client located in the beautiful state of California is looking for an ASCP Clinical Laboratory Scientist to join their team. Job Description: *Clinical Laboratory Scientist must be ASCP Certified to be eligible for consideration.
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The law firm is seeking a highly skilled Machine Learning Technology Specialist to join its dynamic team. Extensive experience in Machine Learning, including neural networks (NN) and deep learning algorithms.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, multi-modality. Proficiency in Python, and experience with deep learning frameworks such as PyTorch, Tensorflow/Keras, MXNet.
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Minimum Qualifications: Bachelor's degree in medical technology, clinical laboratory science, or Medical Laboratory Science or Completion of a CLS/MLS/MT training program approved by the National Accrediting Agency for Clinical Laboratory Sciences (NAACLS) AND Current certification as a Medical Technologist MT(ASCP), Clinical Laboratory Scientist CLS(NCA), or Medical Laboratory Scientist MLS (ASCP.
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Apply advanced statistical methods (e.g., regression, cluster analysis, Bayesian methods, and machine learning methods) in support of advancing actionable and relevant insights on broad issues of regional concern, such as affordable housing, racial disparities, climate change, and sustainable growth.
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Medical Technologist (MT) or Medical Laboratory Scientist (MLS) Certification with ASCP or equivalent agency or eligible preferredBenefits: Regions Hospital offers a competitive benefits package.
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Our preferred platform is Allen Bradley for automation control, Keyence for machine vision and Epson or Fanuc for robotics. The ideal candidate will possess the necessary skills to bring a machine from concept to installation; this includes concepting, proof of concept, software design/programming, electrical component selection, electrical layout/schematics, debug of hardware and software, acceptance testing and installation.
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