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Understanding of Artificial Intelligence (AI), Large Language Models (LLM), Natural Language Processing (NLP), Azure, AWS, and cloud applications. Champion the use of Artificial Intelligence (AI), Large Language Models (LLM), and Natural Language Processing (NLP) technologies to enhance business processes and customer engagement.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Expertise in electro-mechanical precision machine design with embedded software and controls. BSME (MSME preferred) and 10+ years in robotics or automated machine design including the integration of electronics, firmware and motion control.
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Skills Required:Advanced NLP Development: Design, develop, and optimize the Natural Language Processing (NLP) models using state-of-the-art techniques, with a focus on understanding complex language structures, semantics, and context.
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In-phase and quadrature (I&Q data) processing and analysis. I&Q data processing and analysis. Experience with Digital Signal Processing techniques and FPGA implementation.
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Job Title:Chemical Engineer - HydrometallurgyAre you committed to meaningful change for the natural resources space? We are partnered with an innovative clean tech company focused on transforming mineral processing capabilities for critical minerals.
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The Robotics and Anti-Tamper group focuses on several program areas including strategic areas: robotics, artificial intelligence and machine learning; communications systems; guidance, navigation, control and environmental monitoring systems; projectile monitoring\/certification systems; and sensor data fusion.
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We are rapidly expanding our existing big data and analytics platform to cover many more internal customers and use cases, growing scale, stream processing and machine learning.
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Design experience in the following radar system areas; antenna, digital beamforming, spread-spectrum waveforms, cryptology principles, multi-sensor track management, adaptive signal processing, clutter mitigation techniques, sensor resource management and mission planning.
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Familiarity with machine learning techniques and their applications in communication engineering. Proficiency in one or more of the following areas: RF circuit design and troubleshooting, software defined radios (SDRs), digital signal processing (DSP), electromagnetic propagation, or types of RF and Microwave antennas.
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Raytheon's Receiver, Exciter, and Back-End Processing (REBEP) Department is the focal point for receiver, exciter, beam steering, and signal processing technology within Raytheon. Responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.
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With one of the largest multimedia air and land permitting and compliance teams in the country, we support client success in manufacturing and industry, liquids delivery and processing, natural gas storage and delivery, power generation and delivery, and transportation projects.
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machine learning natural language processing engineer data jobs Company: Veradigm in Bedford, MA
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