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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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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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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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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Support all GDIT Artificial Intelligence and Machine Learning and Data Management commitments through facilitation, development and maintenance of all applicable policies, procedures, and protocols in collaboration with GD, GDIT and other Business Units.
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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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As a data strategist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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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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In-depth knowledge and expertise in artificial intelligence, machine learning, deep learning, and natural language processing, with a proven track record in designing and developing AI systems for military and defense applications.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. Infrastructure Support (IS) certification, including CEH, CySA+, GICSP, SSCP, CHFI, Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT.
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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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Familiarity with additional technologies like Qlik, Tableau, Micro-Services, Web-services, Chatbots, Machine Learning (ML)/deep learning, Natural Language Processing (NLP), Lucene/ElasticSearch.
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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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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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And Deployment: Lead the deployment of IAM and PAM solutions, ensuring alignment with business requirements and IT security policies. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.
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deployment machine learning artificial jobs Company: Jpmorgan Chase Co in Mclean, VA
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