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As a Data Engineer on the team, you will contribute to the scalable Batch and Streaming ETL pipelines , DWH design and Data modeling, Data Governance initiatives tools and applications that make that data available to other teams and systems.
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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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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Designing advance automation architecture for a machine involving Motion, HMI, network, etc. Insight Global is looking for an Automation Engineer to work for one of our large manufacturing companies in Lexington, SC. This person will provide the automation hardware and software solution which drives/manages the automation present at each production site.
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. In-company TRAINING (English, Software / DevOps / Project management / Design / Business.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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There is an abundance of challenging work here from major corporate clients, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Exposure to Python, Data Science and Machine Learning methodologies desired. - Proficiency in understanding enterprise data architecture concepts, master data management, data modeling and design techniques.
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You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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A healthcare client of ours in the Philadelphia area is looking for a Machine Learning Engineer to join our Data Science team and help us build, optimize, deploy, and maintain machine learning systems and pipelines in Google Cloud Platform (GCP) production environments for Generative AI and more traditional Machine Learning projects.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Analyze the mechanical performance of a machine design using applicable engineering principles and advanced analysis software such as ANSYS. 0-5 years: Experience in machine design and analysis, must have an interest or academic experience in design and development of radial and axial turbomachinery.
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