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We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Skilled in natural language processing (NLP), MLOps, and data pipeline development, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and scikit-learn. In this role, you'll spearhead the implementation of cutting-edge communications intelligence, collaborating closely with a dynamic team of ML engineers, data scientists, and stakeholders to deliver top-notch SaaS products.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
$125,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Technical Expertise: Serve as the domain expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Job Description: The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Teach science and social studies with a wide range of lesson presentation techniques to adapt activities for different learning styles and levels of language proficiency and to meet the needs of students where they are, while only using the approved curriculum and materials.
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Design, implement, and support call flows to integrate with 3rd party applications such as CRM/PRM, Call recording vendors, Workforce Management, Quality Management, Natural Language Processing, Automatic Speech Recognition, and other Cloud integrations.
$121,900 - $203,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP and elective courses.
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Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Job DescriptionGTRI’s Hardware Security and Trust Division (HST) seeks a GRA starting the Fall 2024 semester with an interest in the development of novel cutting-edge software tools and/or hardware design to support research in microelectronics and embedded systems hardware security.
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Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer.
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machine learning natural language cutting edge jobs Title: data scientist in Atlanta, GA
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