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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. 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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Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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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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Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including Super Computing Centers, physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.
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Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics. Data science, machine learning, optimization models.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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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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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. Experience in using Cloud solutions (AWS, Azure, etc.
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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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Bachelors in Human Machine Interaction (HMI), User Experience (UX), Graphic Designer (GD/BFA) preferredDesired experience with backend services in Python, node. As an employee owned company, we are seeking a talented, tenacious, results-driven individualto work in a multi-disciplinary R&D environment with similarly motivated electrical engineers, mathematicians, computer scientists, and analysts who are collectively responsible for creating custom digital signal processing solutions and leveraging them to make an operational mission impact.
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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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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
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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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Leverage the AWS Machine Learning ecosystem (SageMaker, EC2/ECS, S3 buckets, etc. 2 to 3 years of hands-on experience as a Machine Learning Engineer. We are seeking a skilled and motivated Machine Learning Engineer to join our team.
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machine job Title: solutions architect in Reston, VA
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