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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. 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.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in Business Intelligence and Data Science (data mining, Machine Learning, PLS, PCA), Data architecture, data engineering and Big Data.
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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 or St. Louis, MO. Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
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As a Staff Data Scientist, you will utilize your expertise in data mining, predictive modeling, machine learning, and NLP techniques to drive strategic decisions for WCS. You will be at the forefront of implementing models and strategies using A/B testing or Design of Experiments (DOE), tracking business performance, and providing insightful visualizations to support and continuously improve WCS business strategy.
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Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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For Data Science/Machine Learning Positions. Machine Learning Engineers. Preferred Skills: NLP, Text Mining, Tableau, PowerBI, Databricks, TensorFlow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, and data visualization tools.
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Your primary focus will be in applying machine learning and data mining techniques, performing statistical analysis, and building high quality analytic systems - deep learning, anomaly detection, natural language processing, recommendation systems, predictive analytics and information retrieval.
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Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, image recognition and cognitive computing at scale for countless use cases across Alpha/CRD, Global Services, Global Advisors, Global Markets business lines, and corporate functions.
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NLP, Text Mining, Tableau, PowerBI, Databricks, TensorFlow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills; that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, etc.
$150,000 a yearRemoteExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Experience with machine learning, specifically in the domain of natural language processing (NLP). As a key member of the Standardized Operations and Analytics group, this position will have a keen interest in applying statistical analysis, data mining, and incorporation of machine learning and predictive analytics into real-world operational processes, especially in forecasting, staffing optimization, and process design.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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