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Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc. Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Ii) develop of machine learning and computational discovery methods for public health research. Will this job require the employee to work on site? The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadership We'd love to find someone who is.
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Contribute to creating a culture of learning and reflection in the school by engaging with research on early childhood education and strive to apply knowledge into daily practice. Set learning and performance goals, communicate about goals and activities with supervisor and coach on a semi-regular basis, and seek support when necessary.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Hands-on experience with AWS Sagemaker. Identify on-going risks / threats to federal and non-federal information systems from AI-driven attacks. Identify trends and improvement opportunities based on AI and cybersecurity assessment results.
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. 3+ years of strong hands-on experience with configuration management, cloud orchestration and automation tools with AWS environments.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA. Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
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Desire to work hands-on, both independently and as part of a team, throughout the development and production phases of the solar panel product lifecycle. Take lead on solar cell interconnection design and implement the processes, from concept to manufacturing, ensuring high standards of quality and timely delivery despite technical and logistical challenges.
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Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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We are looking for a strong technical engineer that has hands on experience with the design, configuration, and deployment of routing/switching and firewall technologies, e.g. Cisco, Arista, Palo Alto.
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Provide advice and guidance to senior management on technical advantages and disadvantages of multimedia formats and styles; and the most effective industry methods and practices for designing nontraditional course material for international audiences that is presented using multimedia platforms and learning management systems.
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The Pen Tester will establish a pen testing program for use throughout DHS, completes hands on pen testing capabilities, and communicates recommended solutions for addressing findings from a pen test.
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hands on machine learning jobs Title: solutions architect in Falls Church, VA
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