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Familiarity with sensor fusion techniques and the integration of data from various sensors such as LiDAR, cameras, radar, and GPS. Expertise in computer vision, natural language processing, or reinforcement learning as applied to autonomous vehicles.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with data visualizations tools like Tableau, Qlik Sense, and/or open-source visualization libraries (Plotly, Seaborn, ggplot2) We provide Solution and Data Engineering services to ONI in the form of refactoring and system/data migration from aged on-premise platforms to cloud infrastructures through Agile delivery and a DevSecOps CI/CD software factory.
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As a Data Warehouse Manager, you will be responsible for overseeing the design, implementation, and optimization of the Brand USA data warehouse infrastructure. Oversee the development and maintenance of Extract, Transform, Load (ETL) processes for seamless data integration from various sources into the data warehouse.
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Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI). As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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Integrate, configure, and implement: machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capabilities to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); geospatial mapping capabilities and services; and data analytics capabilities.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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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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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar.
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Through research, data analysis, requirements gathering, enterprise system development, and end-user support, we are expanding and supporting the DevSecOps capabilities to DoD users. Are you an experienced Systems Administrator.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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data administrator machine learning warehouse jobs in Washington, DC
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