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You have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture.
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Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master’s degree in electrical/computer/biomedical engineering.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on data mechanics.
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Our multi-disciplinary consulting services include civil engineering, environmental services, natural resources, landscape architecture, industrial hygiene, and land surveying in both the private and public sector.
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Employing data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types like images, 3D models, natural language, and audio.
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Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.
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Strong understanding of multi-dimensional ‘omics’ data and systematic, relational approaches to data integration and data processing workflowsExcellent programming skills, such as in R & Python, used to integrate, verify and report data according to specifications.
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Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it s a big part of our heritage.
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A track record of publications and contributions to the machine learning and natural language processing communities. Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Work on planning and forecasting to ensure that infrastructure resources are appropriately allocated to meet current and future data processing needs.
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The ideal candidate for this role is a well-rounded top performer with exceptional data engineering, analysis, and visualization skills, capable of driving growth in a fast-paced environment.
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You'll enjoy hands-on lab work, collaborating with a team, learning technical topics, working across multiple technical domains, and be uniquely positioned to help us reach the next horizon in quantum computing.
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In 2020 united in a fierce commitment to deliver the highest quality care and exceptional patient experience Virginia Mason and CHI Franciscan Health came together as natural partners to build a new health system centered around the patient: Virginia Mason Franciscan Health.
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learning natural language processing data engineering jobs Company: Thomson Reuters in Seattle, WA
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