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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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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, Machine Learning engineers.
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Our services include land surveying, machine control modeling, sUAS, LiDAR, BIM, Subsurface Utility Investigation, and GIS & spatial data management services. Leica Cyclone software, Trimble Business Center, TRU, and Point Clous Data experience is preferred but not required.
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Some of the available technologies include Makerspace facilities for podcasting, 3D printing, crafts, and more, a combination of PC and Macintosh computers, scanners, printers, virtual reality headsets, learning hubs, and prayer and meditation rooms.
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As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling. Conceptualize and execute high-performance data processing for structured and unstructured data, and data.
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Advertising is a complex and rich problem space for a data scientist and your solutions will require the application and integration of a wide range of tools and techniques including: recommendation systems, forecasting, revenue optimization, natural language processing, and reinforcement learning as well as an understanding of how people use data products to drive decision-making.
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6+ years experience as a Machine Learning engineer with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet. We are looking for a Staff Machine Learning Engineer to help us develop and grow new Generative AI driven products and tools.
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Assist with quality control procedures and document: phantom image, darkroom fog test, screen-film contact test, repeat analysis, fixer retention analysis, screen cleanliness, compression test, visual machine checks, processor quality control, view box and reviewing conditions, and darkroom cleanliness, as delegated by Chief Mammography Technologist.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
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The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organizations data assets.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Two (2) years of experience must include: Java, J2EE; Java spring boot; JMS; SOA; OOAD; OOP; JEE design; React / Angular; Typescript / JSX; Javascript; Eclipse; Spring Tools; Visual Studio Code IDE; IntelliJ IDE; Server-side application frameworks, including JSP and Servlet; Restful and SOAP-based web services, including JSON and XML; Unit testing frameworks, including Junit and Jest; SQL Data Store – MySQL; AWS RDS / DB2; and Azure Kubernetes Services (AKS.
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Registration as a Professional Engineer, Engineer-in-Training, and/or ten years progressive experience in design, project, construction, or management of wastewater treatment plants and ability to troubleshoot and solve water / wastewater treatment process/ operations problems.
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5+ years of experience in data engineering with Databricks and Spark. Role: Sr. Databricks Engineer (Databricks + Spark + Azure)Location: New York / Iselin NJ / Charlotte NC (100% Onsite from Day 1 from any of these locations) Responsibilities.
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machine learning natural language processing engineer data jobs Company: Veradigm in Nutley, NJ
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