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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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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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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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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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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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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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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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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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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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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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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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Experience using Azure tools Notebooks, BYOML (Bring Your Own Machine Learning), or Open AI (Artificial Intelligence) is a big plus. Familiar with Azure connected machine agent deployments using Azure Arc and creating custom rules and connections; proven experience utilizing Azure DevOps for managing several Azure Sentinel instances in multiple tenants.
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machine learning jobs Title: expert Company: Apple Inc in Denver, CO
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