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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Prior experience with established Software development and monitoring tools (GitLab, GIT, Eclipse/Android Studio/X-Code, Bamboo, Harness, Splunk, AppDynamics). The Senior Software Engineer in Test (SDET) performs test strategy, test design, test planning and automation of various test frameworks and tools.
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This position offers the opportunity to work in a multidisciplinary team on cutting-edge technologies at the intersection of genome engineering, immuno-oncology and single-cell multiomics. In particular, you will focus on research areas such as T cell engineering, in vitro and in vivo characterization, and development of a research-scale manufacturing process.
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We have a preference for candidates who have done numerate graduate work, for example in operations research, probability and statistics, signal processing, computer science, machine learning, or other numerate engineering disciplines and hard sciences.
$165,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We’re an early-stage startup — product and engineering are closely intertwined. Are passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.
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Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
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3+ years in of packaging development and engineering experience within Fragrance or Beauty industries. To succeed in this role, you will have a technical background in Packaging Engineering, understand various fragrance packaging materials and configurations, and are able to execute multiple projects at once on various brands.
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Facilities are well equipped with C-arm Fluoroscopy, ultrasound machine, and Stryker radio-frequency; eClinicalWorks EMR and e-prescription are available. The NFL’s Buffalo Bills and NHL’s Buffalo Sabres play in nearby Buffalo and the Finger Lakes wine country is just an hour east of town, which is breathtaking in the fall.
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The ideal candidate will have experience with Python, Data Engineering, AWS, and databricks. Leverage your data engineering expertise to integrate data pipelines, ETL processes, and analytics workflows within the AWS ecosystem.
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In addition, industrial engineering degree candidates will explore the many qualitative and quantitative reasoning skills required for success in this field. TTU’s graduate degree in Industrial Engineering offers degree candidates five academic concentrations – engineering management, manufacturing & quality assurance, ergonomics/human factors, and operations research, Classes for this master’s degree in industrial engineering includes principles of optimization, research modeling, advanced manufacturing, and human factors in engineering, among others.
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Further training may be received at a “C” School that provides learning in advanced maintenance, TLAM (Tomahawk® Land-Attack Missile) Strike and both computer and computer language skills, including maintenance, operations and security of systems operated and maintained.
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Qualifications:Computer Science, Statistics, Mathematics, Physics, Econometrics, Computer science or Engineering, Business / Economics. The successful candidate must demonstrate strong background in technology, data analytics, software development, and programming languages such as R, Python and SQL, with expertise in Business Intelligence tools (Shiny, Tableau, PowerBi.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Occupational Health and Safety Comply with all health and safety requirements including personal protective equipment, hazardous material handling and disposal, machine guarding, ergonomics, etc.
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machine learning software engineering jobs Title: customer success in New York, Bentonville, Kansas
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