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7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering, data science, data analysis and visualization, machine learning, artificial intelligence, or related discipline.
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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 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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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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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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Experience working with microservices or data processing workloads with tools such as Docker or Kubernetes. Strong knowledge of data management concepts, network engineering concepts and architectures.
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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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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. conducting or supporting cyber engineering projects and activities, or Bachelor's degree.
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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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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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We are seeking to hire multiple team members to join the Geospatial Intelligence (GEOINT) Ground team, helping to model, evaluate, and architect the US Government’s next-generation GEOINT ground mission management, command and control, and mission data processing systems.
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The purpose of this effort is to advance the state of the art in Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics to enhance the DoD’s and the IC’s information processes and technical architectures.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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machine learning language processing data engineering architect jobs in Reston, VA
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