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Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
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You will apply classical ML algorithms and cutting-edge deep learning (DL) approaches to areas within the natural language processing and understanding spaces including GenAI, document processing and understanding, call center analytics, and chat experiences.
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AIML - Senior Machine Learning Engineer/Scientist, Siri and Information Intelligence The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing.
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We are looking for motivated and qualified graduate students to join our team and contribute to developing an LLM-driven chatbot aimed at enhancing patient care through advanced machine learning and natural language processing capabilities.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO. Deliver simple solutions to complex problems as a Machine Learning Engineer at NDSI. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Stay current with emerging technologies in natural language processing (NLP), large language models, general and generative AI, and machine learning. Knowledge of Natural Language Processing (NLP), Natural Language Understanding (NLU) techniques, Human-Computer Interaction (HCI), and Large Language Models (LLM.
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Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
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8-10 years of experience working as a Software Engineer, DevOps Engineer, MLOps Engineer, or Machine Learning Engineer within a production ecosystem. We are seeking a dedicated Machine Learning Engineer with a passion for data science, to lead and manage our critical Machine Learning and Artificial Intelligence Platform.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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At a minimum, you should be able to implement and optimize deep learning algorithms developed by others. You must be proficient in Python image processing (e.g., Pillow, OpenCV, scikit-image, and ITK.
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You will give linguistic expertise for American Sign Language and help develop natural language processing (NLP) technologies. Master's degree in linguistics, computational linguistics, language technologies or related field.
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Stay abreast of the latest advancements in machine learning, natural language processing, and quantitative finance, and apply cutting-edge techniques to enhance Trexquant’s investment capabilities.
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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