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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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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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Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required. required with AWS/Cloud development/computing and OpenCV experience.
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Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider. Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.
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Completed coursework in the theory and applications of astrodynamics, remote sensing, spacecraft design, aerospace systems operations, computational fluid dynamics, machine learning, or complex systems integration is desired.
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Recruitment of brass students across all areas of the school, including students within the areas of Symphony Orchestra, Wind Symphony and Symphonic Band, Jazz “Big Bands” and Combos, “Green Machine” Pep Band, and various Brass Chamber ensembles; and.
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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. Expertise in UX software such as Sketch, Adobe Creative Suite, InVision, etc.
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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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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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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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As a Principal Data Scientist, you will lead innovative data science projects and teams, using your expertise in machine learning, particularly Time Series, Natural Language Processing (NLP) and Large Language Models (LLMs), to develop scalable, ethical solutions that transform customer interactions with their finances.
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Strong understanding of machine learning concepts and algorithms, including deep learning frameworks, reinforcement learning, and natural language processing. Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models at scale.
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With expertise in rapid prototyping, manufacturing, artificial intelligence/machine learning and autonomy, we transition advanced technologies and integrated systems to U.S. Government customers including all branches of the US military, DARPA and other research laboratories, and the Intelligence Community.
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Demonstrated experience with machine learning techniques including natural language processing and computer vision. The Customer also provides critical review and guidance on procurement and supply chain issues, conducts digital forensic systems evaluation and analysis, and delivers technical support to investigations and insider threat issues.
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lathe machine jobs Company: Brinkman Precision Inc in Herndon, VA
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