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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Act as a subject matter expert in precision medicine, artificial intelligence/ machine learning and share insights and contribute to the company's thought leadership. Through the aggregation of extensive real-world data (RWD) and the application of advanced machine learning techniques, we seek to deepen our understanding of biology, uncovering transformative insights that will reshape the development of new therapies and patient care practices.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. We are looking for Staff Machine Learning Engineers of all skill levels or experienced engineers from other disciplines who may be looking to make the move to a big data environment.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. We are looking for a motivated and self organized Machine Learning Engineer who can build and deliver state of the art batch, streaming and real time ML and AI solutions to join the Marketing program to drive powerful experiences for our users.
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2+ years of experience using Machine Learning tools, deploying models, and deploying software in Azure or Amazon Web Services (AWS) preferably holding certifications. Amida is currently looking for a Data Scientist to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Cutting-Edge Machine Vision : We're in the business of AI and data science. Cutting-Edge Machine Vision: We're in the business of AI and data science. Developing machine vision algorithms to detect conditions that were traditionally inspected by humans.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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The Data Engineer will primarily create and deploy robust, repeatable, and automated data pipelines that will ingest and transform raw data to support various advanced analytics and machine learning models.
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Serves as the subject matter expert for machine learning and artificial intelligence support of the CSN.Assists with the retraining of machine learning models. Serves as the subject matter expert for machine learning and artificial intelligence support of the CSN.Assists with the retraining of machine learning models.
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Prior exposure to validation or development of BSA/AML models, Fair Lending models, or Artificial Intelligence and/or Machine Learning models within a Financial Institution. Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
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machine learning jobs Title: learning engineer Company: Amazon in Arlington, VA
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