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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts.
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Cutting-Edge Machine Vision: We're in the business of AI and data science. 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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SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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IT system automation to include artificial intelligence and machine learning (AI/ML) This position requires a person with knowledge of ServiceNow and its use as an automated provisioning mechanism to provision multiple cloud service provider’s servers including Azure, AWS, Windows and Linux AMIs. A successful candidate should have extensive scripting knowledge and capabilities specifically related to PowerShell, Power-CLI, JavaScript, Python, Perl Scripts, and Bash Shell scripting.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit GatewaysWide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learningShall possess AWS Solution Architect (Associate or Pro) certification.
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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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Assists with patient positioning activities on the simulator and/or Computed Tomography (CT) machine; Assists in moving/positioning patients in preparation of delivery of radiation therapy. Assists with patient positioning activities on the simulator and/or Computed Tomography (CT) machine; Assists in moving/positioning patients in preparation of delivery of radiation therapy.
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Experience integrating and formally describing solutions that incorporate state-of-the-art methods coupled with the creativity and intelligence in one or more areas such as machine learning, artificial intelligence, cloud infrastructure, software engineering, systems engineering, analytics/decision support, cybersecurity engineering, or robotic process automation/hyper-automation.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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This often includes advancements in fields like artificial intelligence, biotechnology, and renewable energy. Experience with any ERP (Momentum, Oracle, SAP) or asset management applications (Maximo, Tririga, Sunflower.
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artificial machine jobs Title: data science Company: Capital One in Chantilly, VA
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