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The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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The Advanced Analytics and Cloud program supports government customers within the Department of Defense (DoD) on various projects to develop solutions incorporating technologies such as machine learning, artificial intelligence (ML/AI), robotic process automation (RPA), and cloud infrastructure.
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Senior Applied Scientist, Amazon Connect We are looking for a senior audio applied scientist with experience and expertise in speech and audio signal processing, machine learning, automatic speech recognition, and/or natural language processing to work on state-of-the-art solutions for applications including speech enhancement, voice analytics, and real-time transcription of conversational audio.
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Experience developing and working with Artificial Intelligence and Machine Learning (AI/Client) We are looking for an intermediate to expert level Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content.
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Additionally, they will participate in a wide variety of Natural Language Processing activities, building Machine Learning Models, AI Algorithms, code and design review. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers.
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Job Description: As the Data Scientist, you'll be exposed and contribute to the development and application of innovative technologies such as machine learning, artificial intelligence, and advanced data analytics.
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As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. + As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
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As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.
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Research in the Liao laboratory combines single-molecule imaging, genetic manipulation, whole-cell super-resolution microscopy, machine learning, and physical modeling to understand how neuron structures and functions emerge from the elementary molecular processes, under both normal development and pathological stresses.
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At Cynnovative, we leverage machine learning, computer science, and software engineering to address high-impact problems in the cyber domain, specifically those which are critical to U.S. national security.
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Implementing prototype solutions in software, utilizing the latest data exploitation techniques (including machine learning techniques). Developing algorithm and concept design for ground-based, shipboard, airborne, and space-based RF systems.
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Assist with machine learning and data visualization initiatives as needed. If you are passionate about leveraging your data scientist skills and working with cutting-edge technologies to enable efficient data analysis, we encourage you to apply.
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You will work with scientists, economists, and engineers within the team, and partner with product and business teams across AWS Marketing to build the next generation marketing generative AI and machine learning capabilities directly leading to improvements in our key performance metrics.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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machine learning jobs Title: scientist in Springfield, VA
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