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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.
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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.
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As a Machine Learning Engineer at IR Labs, you will be instrumental in developing and deploying state-of-the-art machine learning models that solve real-world problems for our customers.
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Stay updated with the latest advancements in machine learning, Cognitive AI, and NLP (Natural Language Processing) research. Demonstrated expertise in machine learning techniques, including deep learning, NLP, and reinforcement learning.
$130,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Ideal candidate would have at least 3 years of industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. We value our client relationships and are committed to learning and furthering the business, as well as legal goals, of each company we work with.
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Data Analytics: Demonstrate experience to apply data driven analysis and leverage technologies like machine learning and predictive modeling algorithms to solve complex business problems.
$161,000 - $225,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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4+ 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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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
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Create and maintain accurate forecast and trend reporting through Tableau and machine learning for operations teams, leadership, sales reps, and leaders. Management and/or administration of Revenue Stack including Salesforce, Marketo, Hubspot, Salesloft, ZoomInfo, Ringlead, Sales Navigator, Calendly, RingCentral, CPQ, 6Sense, etc.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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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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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch. As a Technical Support Engineer at Tecton, you're instrumental in ensuring clients' seamless use of the company's machine learning operations (MLOps) platform.
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machine learning jobs in Denver, RI, United Kingdom
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