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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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RSS low voltage, security systems, software house, ccure, c-cure, access management, ip camera, cctv, surveillance, security alarm, nvr, genetec, access control, video systems, exacqvision, edvrclient, omnicast, synergis, hd camera, video management, ip video, access camera, dsc, siveillance, verint, powerseries, powerg, intrusion, network video, xprotect, vms, securos, Electrical wiring, avigilon, genetec security center, onssi, lenelonguard, bosch, milestone, axis, c-cure 9000.
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We are looking for a senior QA test automation engineer who would be responsible for testing and validating scalable microservices built using a combination of Java and Google cloud platform technology stack.
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The Advanced Driver Assist Technology (ADAS) team develops state-of-the-art software and algorithms to deliver best-in-class features like adaptive cruise control, automatic emergency braking, blind spot monitoring, and 360 camera systems.
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Architect and technology consultants in new mobility business models enabled by Software Defined vehicle (SDV) domains. Technology consultant who has expertise in SDV, IoT, C. Architect and technology consultant in new mobility business models enabled by SDV domains.
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Prior experience implementing cost take out and cost avoidance opportunities for software and hardware acquisition and maintenance/support with a working knowledge of common contractual issues and mitigation strategies for hardware and software asset management; demonstrated knowledge of IT Asset Management discovery, monitoring/tracking, and optimization tools such as ServiceNow and Flexera FNMS, IT Visibility and IT processes and controls.
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Understanding or desire to learn end to end Machine Learning and Gen AI technology stack (Tools such as Kubeflow, Airflow, Seldon Core, Weights & Biases, Labeling tools etc. Stefanini is looking for a Software Engineer - Machine Learning, Location: Dearborn, MI (Hybrid.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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This will include managing ticket inventory allocations, database coding and will be a key team member and occasional project lead on behalf of the ticketing technology and ticket operations team for third-party ticketing and third-party promoter communication for the ticketing software event build and ticket distribution plan for Ford Field Special Events.
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CASE Automotive BusinessConnected & Autonomous Cars as this space if often referred to, is one of the most exciting things happening in the industry today, and is seeing the convergence of Technology - software & hardware, IT and Automotive Engineering like never before to create a true Business 4.0 TM ecosystem.
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Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
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Create and design ad hoc reports using SQL and other software languages for data analysis pertaining to agent scheduling, call volumes, Web Chat Volume, Agent Performance Metrics. Familiarity with Workforce management software like IEX Total View or Genesys preferred.
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As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. The Embedded Software Team provides Classical AUTOSAR, Adaptive AUTOSAR, for the software engineering team.
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You are excited by business-technology alignment, enterprise technology blueprints and roadmaps, C-Level discussions but ideally you have also experience on Software Engineering, DevSecOps, Cloud platforms, Integration platforms, enterprise applications such as Salesforce and SAP and, why not, even Cobol and mainframe.
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Join the rapidly growing team of motivated software engineers designing, developing, and testing embedded software for driveline systems. With 110 Innovation and R&D design centers globally, the client specializes in disruptive technology spaces such as 5G, Artificial Intelligence, Collaborative Robots, Digital Factory, and Autonomous Transport.
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Proficiency in CAD software (e.g., CATIA, SolidWorks, Team Center/VIS) and chassis simulation tools (e.g., Adams, Optimum K). We fuse technology and engineering to provide product development solutions to customers in a diverse range of industries.
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