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Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch. About this role:The Senior machine Learning Engineer will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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Data science, machine learning, optimization models, PhD 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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We have an opening for a Postdoctoral Researcher to join our interdisciplinary team of Applied Machine Learning Researchers supporting a variety of application areas including Cyber Security, Climate Modelling, Energy Systems, Bioscience and Advanced Manufacturing.
$108,600 - $126,720 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A highly skilled Machine Learning Engineer specializing in robotics applications. Experience with cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for scalable machine learning infrastructure and deployment.
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The role of the postdoctoral fellow will be to develop uncertainty quantification and machine learning methods and apply them in the context of computations of gas phase chemical kinetic models.
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Lead Sales Associates continuously learn about the industry, products and services through Dunn-Edwards Learning Network and various job certification programs that better assist in answering questions and making proper recommendations, as well as building a foundation for potential advancement opportunities as Dunn-Edwards continues to grow.
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Candidates must have deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling and experience applying these methods to real world problems. The newly hired Data Scientist will be a key interface with stakeholders in all Marketing functions, Business Technology, Sales and Sales Operations, and our shared machine learning teams throughout the organization.
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Nova’s holistic metrology approach combines robust high-precision hardware with the finest software modeling which interlaces machine learning and big data within integrated and stand-alone configurations.
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Principal Machine Learning Engineer. Experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions. Experience building and deploying microservices as part of Machine Learning/Data Science applications.
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Deliver reusable and easy-to-use tooling to integrate with existing data and machine learning systemsRequirements: Strong understanding of machine learning principles, especially in the context of LLMs.5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
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Job Responsibilities We are searching for an engineer talented in computational plasma & electromagnetics with a strong background in computational physics, chemistry, engineering, and machine learning to join our team.
$96,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Serving as a thought leader across the sales and product division on trends and issues across the technology spectrum in areas such as Artificial Intelligence, Machine Learning, Cloud Services, Data Analytics, Chiplets and 3D packaging, 5G, and Edge IoT.
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As a Fabrication and Machine Shop Supervisor at GILLIG, you will be making a daily impact in a stable company within a critical US infrastructure industry. Professional knowledge of industrial safety procedures, shop operations, fabrication and machine shop equipment.
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ResponsibilitiesUpdate, modify, and continuously improve existing controlsDesign and develop new machine control standards including electrical, hydraulic and pneumatic components. Competitive SalaryGrowth Opportunities Full Benefits Collaborative CultureJob DetailsThis position is responsible for all plant machine control systems and documentation review, standards development and equipment safety certification.
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machine learning jobs Title: principal Company: Cybercoders in Pleasanton, CA
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