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The Advanced Services Network Engineer provides direct customer support for suite of Advanced Managed Services including our Managed Services product line, Managed Router/Switches, Hosted IP PBX, SIP Trunking, ProConnect VoIP, SDWAN, Cloud Secure, DDoS and Enterprise Data Center Co-Location offerings.
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At least 6 years experience as a software engineer and 3 as a data engineer. We are seeking an experienced Lead Data Engineer to join our team of world-class software engineers.
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Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field ; 5 or more years of experience. Bachelor's degree in computer science , Data Science, Machine Learning, Artificial Intelligence, or a related field ; 7 or more years of experience.
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We provide the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels, in order to ensure the ultimate goal – results for marketers.
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The company secures remote work on any unmanaged or BYOD computer with a radically simplified and less costly solution than virtual desktops or having to lock down every PC. Similar to an MDM solution but for laptops – work lives in a company controlled secure enclave installed on the user’s PC or Mac, where all data is encrypted and access is managed.
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Controller’s data protection officer is Nadiera Toolsieram, who can be contacted at privacy@evertz.com. When you apply to a job on this site, the personal data contained in your application will be collected by Evertz Microsystems Ltd (“Controller”), which is located at 5292 John Lucas Drive, Burlington, Ontario, Canada and can be contacted by emailing privacy@evertz.com.
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Artificial intelligence/machine learning/data science (e.g., large language models, ML.NET, pandas, scikit-learn, pytorch, tensorflow, R, etc.) Requirements: BS in Computer Science, Data Science, Information Science, Cybersecurity, Computer Engineering, or related discipline with 10-years of applicable work experience; OR MS in the same fields with 8-years of applicable work experience; OR PhD with 5-years of applicable experience; OR an equivalent combination of training or experience.
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Prior experience is desirable to include in-line, bus and equipment protection, breaker, transformer and similar equipment control, RTU and data concentrator based SCADA systems, telemetering and communications (fiber optics, microwave, power line carrier, etc.
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Experience planning and performing geotechnical investigations, including conventional SPT and CPT-based in-situ testing investigations, evaluating lab testing data, characterizing material properties, performing geotechnical & structural analyses and designs, and providing construction QA/QC. Implementing instrumentation programs and performing geotechnical analyses for dams, soft ground engineering, foundations, and earth retention structures are a plus.
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PreferredQualifications: Proficiency with utilizing basic lab equipment like Oscilloscopes, DMMs, Spectrum Analyzers, and other test equipmentProficiency with different communication protocols like GPIB, RS232, SPI, etcExperience with interfacing and integrating hardware devices, control, sim/stim, data acquisition, specifically with National Instruments Hardware like PXI, CRIO, CDAQ, etc.
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The Software Engineer III will support the overall operation of Duquesne Light‘s Supervisory Control and DATA Acquisition System (SCADA). Provide Support of the SCADA system, specifically data acquisition issues: Frontend Communication processor issues, communication technologies using analog, digital , DNP3, frame relay or MPLS, protocols used by the SCADA system to collect data from field Remote Terminal Units (RTUs), support for Inter- Control Center Protocol (ICCP), as well as for the Outage Management System (OMS.
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CDPSE (Certified Data Privacy Solutions Engineer) Secure Data management (at rest / in transit) The Senior Cybersecurity Engineer is responsible for ongoing cybersecurity assessments of Wabtec products to determine whether they comply with applicable Wabtec cybersecurity standards and technical controls.
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The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models.
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May be asked to participate in non-design engineering activities such as construction inspection and materials testing, surveying, CADD production, and field data collection. Maintains project database by writing computer programs; entering and backing up data.
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Able to self-sufficiently complete various tasks and duties including but not limited to research, data collection, field investigations, development, and design of projects. Our Pennsylvania office is seeking an Engineer II to join our Transportation Department.
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data job Title: engineer in Pittsburgh, PA
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