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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred expertise includes patent prosecution in electrical engineering or software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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1+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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Software, Technology, Artificial Intelligence, Robotics, Machine Learning, Data Analytics, Education, Computer Software, Information Technology and Services, Natural Language Processing. Spekit is a just-in-time learning platform built for how we learn at work today.
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Develop models leveraging statistical analysis, regression modeling, optimization, predictive modeling, simulation, machine learning, economic models. Knowledge of analytical models, methods, applications and tools, such as statistical analysis, regression modeling, predictive modeling, simulation, machine learning and selecting and applying the right analytical techniques.
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Thousands of enterprises including Cisco, DocuSign, Pacific Life, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.
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We maintain excellent teaching and research programs in embedded systems communications, VLSI, controls, machine learning, power and energy systems, neuro-engineering, quantum computing, and electromagnetics.
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Knowledgeable in statistical and machine learning methods (e.g., NLP, deep learning, predictive modeling) Build a robust machine learning platform and infrastructure to enable rapid model design, implementation, validation, calibration, documentation, feature engineering, deployment, batch and real-time inference, and ongoing monitoring.
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Engineering: controls, estimation theory, digital signal processing, reinforcement learning optimization, and machine learning. Prepare real or synthetic data sets to drive learning algorithms, fine tune large-scale AI models, and characterize system performance.
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Possess deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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SpaCy, NLP, NLU, Information Extraction, Prodigy, Python, Tensorflow, Keras, Transformer, Healthcare, Clinical Data, EHR, Radiology, Machine Learning, SQL, Unix Shell. You will be a part of a small team, building Natural Language Processing / Understanding and Machine Learning models.
$152,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The A12 team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase which tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.
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The Oxy Subsurface Innovation Residency is a two (2) year program for Artificial Intelligence (AI), Machine Learning (ML), and Geoscience professionals interested in acquiring hands-on research and business experience in the Oil & Gas industry.
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Undergraduate degree is required; advanced degree in a quantitative discipline such as computer science (especially machine learning), applied mathematics, economics, quantitative finance or engineering is preferred or equivalent practitioner experience.
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Partner with diverse technical teams including software engineering, data engineering, machine learning, CRM developers, and data science to develop seamlessly integrated solutions spanning first and third party assets that collectively provide a cohesive end-user experience.
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machine learning jobs Title: expert Company: Infor in Denver, CO
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