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The ideal candidate will possess a strong foundation in machine learning, data analytics, and computational biology, facilitating the smooth integration of computational methods with domain-specific knowledge.
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Certifications in AI/ML Technologies and Cloud platforms - AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, or Azure Solutions Architect.
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10 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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Additional Qualifications (preferred): SOA (SOAP/REST), Message Queues, Unix/Linux, Maven, Jenkins, Agile, Distributed/Parallel Computing, Hadoop, Apache Spark, EIP (Camel), AI/Machine Learning, ZooKeeper, Chef, Docker.
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Patent Prosecution Attorney or Agent – Artificial Intelligence/Machine Learning + Cloud Computing. Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
$78,000 - $151,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good knowledge in data sciences and data analytics and utilization of Machine learning algorithms in automation. Must have 1+ year of experience as an architect for Blue Prism and have successfully lead large RPA implementation programs (10 Plus Processes automated.
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Role: Blue prism Architect. Net, Java, VB, C#/C, HTML/CSS, Python, Web Services, mainframe, web applications, SQL, data integration tools, technical automation tools) Set up the BP development environment (software installation, installation of related technologies such as Splunk/logging etc.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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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 Machine Learning enablement tools such as experiment tracking systems, feature store and similar system, preferred. Applies software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
$120,000 - $160,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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We revolutionized the orthodontic industry with the introduction of the Invisalign system, and we have never lost sight of that spirit of innovation. The stakeholders include 3D printing process engineering teams, Bio Mechanical Engineering teams, Software teams across the org and more.
$150Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deploy machine learning solutions in the Cloud (e.g., databricks / AWS sagemaker). Experience in building machine learning solutions using AWS Sagemaker and Databricks. This position is crucial as it involves creating and implementing machine learning solutions, offering technical proposals and reviews for different business areas within Gilead (such as Commercial, CDS, PDM), and exploring innovative approaches to modernize their technology stack, like Generative AI. The ideal candidate should have strong opinions on how Data Science and Machine Learning should be applied, following MLOps principles, while also being receptive to feedback from colleagues.
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Oversee and direct robotic automation efforts including the identification of automation opportunities, assess automation feasibility and benefits, and the use and determination of which robotic automation technology(ies) (Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) would meet business outcome(s.
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middle machine learning jobs in Cary, NC
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