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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Strong technical background and leadership experience in national security research applications, including several of the following key areas around electromagnetic spectrum operations and intelligent systems: electronic warfare (EW), radar, antennas, electromagnetics, systems engineering, artificial intelligence, machine learning, acoustics, physical phenomenology, robotics, command and control, network communications, software and hardware development, and signal and data processing, etc.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Demonstrated experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. Expertise in signal processing, electromagnetics, modeling & simulation, machine learning, image, or control theory.
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NET, HTML, Python, PERL, SQL, XML, Machine Learning, NLP are all a plus. Preferred: Experience programming on a credit union data processing system, preferably Symitar. Oversee development and maintaining applications that integrate with the data processing system (Episys) and other third party systems.
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Creating large-scale data processing pipelines and build & train Client machine learning algorithms with tools like Python. Creating large-scale data processing pipelines to build and train Client machine learning algorithms.
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1+ years of experience in machine learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI.
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Experience: 5+ years of experience developing, training and deploying machine learning models in support of commercial software applications, preferably those focused on cybersecurity, computer vision or audio signal processing.
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Job Description :JOB SUMMARYThis position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices.
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Role : AI / Machine Learning Engineer Location : Atlanta GA USA Workplace Type : 100% onsite Salary Range : $139000 $215000 per year WHY FOLLOW IF YOU CAN LEAD Our Atlantabased client is seeking an experienced engineer to advance their AI capabilities.
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Strong technical background and leadership experience in national security research applications, including several of the following key areas: electronic warfare (EW), radar, antennas, electromagnetics, systems engineering, artificial intelligence, machine learning, acoustics, robotics, command and control, network communications, software and hardware development, and signal and data processing.
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Role : AI / Machine Learning Engineer. Using state-of-the-art sensor and data processing systems, you would lead your own team of high-caliber engineers to develop novel algorithms and computing infrastructure.
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As the impact of Machine Learning and Large Language Models (LLMs) on Higher Education continues to grow, we are seeking a Principal Data Scientist to lead the way in leveraging these technologies to benefit university students and instructors.
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machine learning data processing jobs in Atlanta, AZ, Canada
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