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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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This role will spearhead advanced data science solutions, focusing on machine learning (ML), Large Language Models (LLMs) and computer vision applications to revolutionize the insured experience and optimize claims workflows.
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Machine Learning Engineering - Dallas, TX (Hybrid) Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases.
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Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
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Working experience with common open source image processing libraries such as ITK, VTK, MONAI, 3D Slicer and high performance GPU clusters such as AWS, Databricks. Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
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Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open source machine learning frameworks – tensorflow, pytorch, XGBoost, LightbGM.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. Lead a high-performing engineering team in the development of the Spark platform, reinforcing Apache Spark’s position as the world’s leading open-source unified engine for large-scale data analytics.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Algorithm Development, Artificial Intelligence, Embedded Systems, Electronic Warfare, Image Processing, Machine Learning, Military Vehicles, Modeling/Simulation, Robotics/Automated Systems, Sensors Integration, System Engineering, Testing, Aerospace, Sensors/Optics, Autonomous Systems, Data Analytics/Science, ISR & Tactical Systems, Threat Systems.
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TSC's Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and development research facility, dedicated to R&D in the areas of computational neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems and computer vision.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
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Robotic Simulation with ROS, RVIZ, Unreal Engine, Unity, and Gazebo Machine Learning (ML) and Computer Vision (CV) Open-Source Frameworks Linux - As a user at least, but also administration and kernel development Distributed computing and inter-process communication (IPC) mechanisms RTOS for mission-critical applications Agile and Hybrid-Agile design methodologies Embedded Development in C/C.
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machine learning open source computer engineering jobs Company: Brain Gain Recruiting
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