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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. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
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The Data Scientist role will have a significant role in the design and development of Aireon's Machine Learning applications and products as well as supporting data analysis of the performance of the Aireon space-based Automatic Dependent Surveillance-Broadcast (ADS-B) air traffic surveillance system.
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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.
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The candidate must be a certified AWS Solution Architect-Professional. Experience working with microservices or data processing workloads with tools such as Docker or Kubernetes.
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The RoleThe Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. As a Sr Cyber Engineer and assured, compliance, assessment, and solution (ACAS) SME on our team, you'll be able to work individually or in a small integrated team, and lead a task, project.
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Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including National Super Computing Centers, physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.
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Provide technical expertise and guidance in AI/ML algorithms, data modeling, data engineering, and data governance and support the deployment across various domains (e.g., natural language processing, computer vision, predictive analytics.
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This position may involve access to technology or technical data that is controlled under U.S. export control laws and regulations and the release of which to a foreign national may require an export license from the U.S. Government.
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Demonstrated experience with machine learning techniques including natural language processing. Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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ForeScout, Palo Alto Firewalls, Splunk and Cribl, or DoD Endpoint Security Solution. engineering projects and activities, Associate’s degree and 10+ years of experience. conducting or supporting cyber engineering projects and activities, or Bachelor’s degree.
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Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics. Expertise in computer vision, natural language processing, or reinforcement learning as applied to autonomous vehicles.
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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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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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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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