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To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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We are looking for a networking and virtualization savvy Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing networking solutions for Machine Learning, Deep Learning and Data Analytics workloads on virtualized platforms.
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Since the company’s inception, we have focused on an oncology-centered internal pipeline along with pharma and biotech partnerships to collaboratively train predictive machine learning models and discover and optimize drugs for therapeutic areas ranging from infectious disease to neurodegeneration.
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Thousands of organizations worldwide - including Comcast, Condé Nast, Nationwide and H&M - rely on Databricks' open and unified platform for data engineering, machine learning and analytics.
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Professional expertise relevant to developing hardware and software IoT and robotic applications for new problem areas, in any of the following areas: hardware architecture, processing platforms and sensing technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization.
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Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) Experience in one of the following fields: machine learning, NLP, and computer vision.
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Join our top-notch team of more than 50,000 diverse and high-performing professionals globally who are making their mark on some of the world’s most beloved brands, including DEWALT®, BLACK+DECKER®, CRAFTSMAN®, STANLEY®, CUB CADET®, and HUSTLER.
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Experience working with machine learning frameworks like TensorFlow or JAX. Experience working with basic machine learning concepts. In this role, you will work on the cutting edge of Large Language Models (LLMs) and Generative AI infrastructure including JAX, TensorFlow, and PyTorch.
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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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Artificial intelligence and machine learning benchmarks for inference and training (BERT, BERT-3, GPT, Resnet, etc.) Identify problem areas and drive appropriate actions to achieve performance targets for the KPIs. Define process and predictive analytics to align consensus on server and datacenter workload and performance models.
$229,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. As a Master Scheduler, you'll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world's best quantum computers to solve the world's most complex problems.
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Other responsibilities include participation in assessing student learning outcomes; developing, revising, and implementing curriculum; maintaining current knowledge and skills in the area of assignment; building collaborative relationships within the BC community and the radiation oncology community at large; demonstrating a strong commitment to student success and fostering a positive, caring learning environment that values diversity, equity, and inclusion.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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on machine learning jobs Title: solutions architect Company: Databricks Inc in Bellevue, WA
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