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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Experience with machine learning and algorithm development and modern geographic information systems (GIS) is required. Requirements Masters degree in a relevant technical field Extensive practical experience with spaceborne, airborne, and/or UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing.
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing.
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Our research interests include radio frequency (RF), machine learning (ML), cognitive electronic warfare (EW), cognitive radio, cognitive signals intelligence (SIGINT), trustworthy AI, novel learning methodologies, and adaptive decision making and control across distributed systems, among others.
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Hands-on experience with machine learning (including deep learning), and one or more of the following technical areas: computer vision and image processing, multi-modal large language models, speaker identification/verification technologies.
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In addition, you will utilize your deep understanding of artificial intelligence and machine learning skills to build innovative solutions that integrate AI seamlessly into ClearGov's suite of applications.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Experience with AI technologies, machine learning models, hyperscaler platforms (AWS, Google Cloud, Microsoft Azure), engineering technologies, and PLM systems. - Collaborate with data scientists and AI experts to implement advanced machine learning models and algorithms.
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We have a full suite of equipment for in-house prototyping, including a CNC machine, laser cutter, Bridgeport mill, lathe, electronic workstations, and 3D printers. Ideal candidates are interested in continuous learning and development, not only in design engineering but in all of the other aspects of bringing a product from idea to commercial launch.
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Be part of making the entire Research & Development cycle digitally-enabled: improving clinical trials and data collection, Digital therapeutics for rapid diagnostic, wearables, machine learning and visual analytics for informed decision-making, integrated data to improve patient outcomes, and insights to inform the next generation of products.
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Improve search latency and relevancy using large scale data systems and machine learning. Advantages - experience in: Experience with Big Data Frameworks such as Apache Hadoop, Spark, Flink, Kafka, Airflow, etc.
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This is an opportunity to work hands on with a cutting-edge industrial robotics product that utilizes machine learning, computer vision, advanced sensors, and AI to accomplish its tasks.
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Architect and develop large-scale, distributed data processing/machine learning pipelines using technologies like Apache Trino/Impala, Flink, and Airflow. Ribbon Communications is looking for a machine learning engineer to assist in the design and development of machine learning solutions on Ribbon Analytics.
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machine learning jobs in Concord, MA
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