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IntroductionThe Machine Learning Engineer will support the development and deployment of machine learning models for cyber missions and targets. Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Additionally, the Big Data and Innovation Support Lead is responsible for the design, development, test, deployment, and use of associated advanced analytic and data science tools including, data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
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Oversee the deployment of machine learning models at scale, ensuring reliability and performance. Lovelytics is seeking a skilled consultant and people leader with experience delivering and leading strategic Databricks and Machine Learning client engagements.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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The Principal Machine Learning Engineer will play a critical role in bridging the gap between the development and deployment of ML models, ensuring an efficient transition from lab to production.
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Artificial Intelligence (AI)/Machine Learning. LinQuest Corporation has a stellar 40-year track record of providing end-to-end system-of-systems (SoS) architecture definition, engineering design, integration and test, and operations expertise to enable full lifecycle development and deployment of pre-eminent Space, Air, Land, Sea, Ground, and Cyberspace game-changing capabilities across US DOD and IC Customers’ portfolios.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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The Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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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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Basic Qualifications: 5+ years of experience with artificial intelligence, data science, machine learning engineering, and software engineering 5+ years of experience developing technical solutions in Python, TypeScript, C.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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As a Data Scientist on the deployment & platform side of the team, you'll be at the forefront helping us to usher in the next wave of disruption by using the latest technology to deploy, optimize and modernize model pipelines and execution platforms that enable machine learning models to provide powerful insights about our portfolio and growth opportunities through new data sources.
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Experience working in Data Architecture, engineering, and ETL teams, managing the Design, Implementation of projects that utilize big data, advanced analytics, and machine learning technologies.
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