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Advanced skills in Process modeling software such as SYSCAD, Aspen, and ChemCad as well as Python for Machine Learning and Data Science, MATLAB, Plant Triage / Expertune Loop Tuning, SEEQ, Pipe-Flo Advantage and Foxboro / Honeywell DCS is preferred.
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Possess a solid understanding of AI technologies, including machine learning, natural language processing (NLP), and computer vision, to facilitate the development and integration of advanced internal tools that enhance analytical capabilities and operational efficiency.
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The top skills required for this position are - 1 ) Python backend programming, 2 ) advanced Linux O/S commands, 3 ) data analysis, data cleansing & reporting (DA/DC/R), plotting statistical results and matching them against historical results data with Machine Learning, and 4 ) monitoring the health & performance of hardware system (i.e., CPU, x86 arch., memory, storage, networking.
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Data Intelligence to enable companies to draw critical insights from their data and shape business decisions (Data Integration | Cloud Migration | Business Intelligence | Analytics & Machine Learning.
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We enable the digitalization of manufacturing and enhance the requisite human workforce through integration of advanced cyberinformation technologies, including, but not limited to, AR/VR, AI, cloud computing, cybersecurity, data analytics, IIoT, machine learning, simulation and virtual modeling.
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Data Exploration: Lead the performance and integration of advanced Machine Learning & Predictive analytics to promote understanding of different business areas or critical business challenges/opportunities.
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Established over three decades ago, KLD Labs, Inc. is a forward-thinking technology company that excels in the design and integration of cutting-edge artificial intelligence (AI) and machine learning (ML) solutions, laser technology, and machine vision systems for automated railway inspection applications.
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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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The Cambridge Integration Services Technician (HPC/AI IST) is field-based specialist charged with building an end to end high performance compute, artificial intelligence, machine learning, & enterprise solutions based on a prescribed plan.
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Experience working with Predictive Analytics or Machine Learning is a huge plus. Data Analytics and Integration Engineer. Excellent working knowledge and use of: BI reporting tools such as Tableau, Tableau Prep. Experience creating dashboards and reports, SQL, Oracle SQL Developer Data Modeler, Python.
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Bachelors's or Masters degree in computer science, artificial intelligence, machine learning, data Science, or related. Lead data lake strategy and analytics initiatives to drive end-to-end architecture while adopting emerging technologies & platforms with solution designs that leverage statistical approaches, machine learning, and related disciplines to deepen our understanding of the business drivers & achieve strategic objectives.
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Understanding of cloud data engineering and integration concepts. Understanding of machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction.
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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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Foundational knowledge of Google Big Query, Node.js, CSS, Python, Domo, and concepts of machine learning. Hands-on experience with Adobe Data Collection and its integration with AEP via WebSDK.
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The areas we focus are Data Management, Data Integration, Machine Learning, Natural Language Processing, and Human-Computer Interaction. Ability to design software systems utilizing microservices architectures, container orchestration, data management, and cloud-computing.
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