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The incumbent is responsible for development of testing strategy (manual and automated), QA framework that supports agile, waterfall, and hybrid delivery methodologies across the digital portfolio of products including but not limited to N-tier enterprise applications, mobile apps, middleware, webchat, SMS, email marketing, low-code, digital signatures, robotic process automation, analytics/advanced analytics, machine learning, artificial intelligence, and other emerging digital technologies.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Experience with products in the High-Performance Computing (HPC), Scientific Computing, Hardware Integration, Infrastructure Automation and Orchestration, or similar domains.
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Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
$143,616 - $215,424 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The key technology domains we are currently focused on include business process automation, data curation, industrialized analytics, machine learning & AI and scalable delivery platform.
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Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
$130,200 - $242,200 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Independently or in partnership with the BI Engineer, create data pipelines for data ingestion Transform data for model ingestion using available frameworks such as AWS, CSV files, and databases Profile data to explore and validate data content, structure, and establish error detection functions Support strategic initiatives and special projects through continuous improvement and automation of prototype and production data models and analyses.
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As a Hardware Test Automation Engineer at Meta, you will be responsible for developing test automation frameworks to support HW validation of various MR products. Design and develop modular, reusable test automation solutions to support HW validation of VR products throughout the entire development cycle.
$129,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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These applications cross AI and analytics problems in NLP, imaging, anomoly detection, and deep automation. At Deloitte, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) Center of Excellence to enhance Deloitte’s existing services and empower our clients to gain exponential value from their data.
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Machine learning systems enable Siri to be a world-class personal assistant to more than one billion users worldwide. Are you passionate about building automation frameworks to evaluate ML models and validate AI applications.
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Experience with CI/CD solutions in the context of MLOps including automation with IaC (e.g., using terraform). Collaborating closely with other engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more) by supporting the training, evaluation, testing and deployment of machine learning models.
$141,000 - $418,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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C# or PythonExperience with one or more of the following: Natural Language Processing, test understanding, machine reading comprehension, classification, pattern recognition, recommendation systems, ranking systems or similarExperience with TensorFlow or PytorchGeneral knowledge of robotic process automation Maybe you don t tick all the boxes above but still think you d be great for the job.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Develop tooling & automation and optimize for capacity accounting, resource management, and infrastructure operations.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We support these services with a combination of engineering build platforms, science which built out machine learning and modeling function to trigger resolving automation, analytics which use to measure the result and efficiency systematically, DSI determination to deepen our understanding of the full customer experience and economic impact of defects, and program piece to maintain and optimize defect elimination process for efficiency improvement purpose.
$59,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are a fast-paced team with the vision to change how Nordstrom & Nordstrom Rack leverage automation through Machine learning to drive markdowns. Maintain a high bar for code quality, testing and automation while finding opportunities to continuously improve them.
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Engineers in this role will work on automation, development, and operations to support AWS machine learning services for US government customers. C#, Java, Python, Golang, PowerShell, Ruby.
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