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Entech Staffing Solutions is seeking a Senior Data Engineer for a remote position based out of Detroit, MI! and seven years of experience working in a data processing, analytical or computer programming function; OR Masters degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Economics, Finance, Industrial/Organizational Psychology and Econometrics, etc.
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Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform.
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Past projects/duties include: analyze refinery process flow data and compare to recommended optimum levels, this will help in identifying equipment failures which cause variances in capacity from the optimum levels; update information on gasoline blends and tank samples in preparation for an annual blender waiver audit; develop applications to better present process data for refinery operating decisions.
$40.5 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Industrial Engineer(Dearborn, MI)Developing digital manufacturing models using scanning, 3D Modeling and manufacturing optimization tools. RequirementsEducation or Experience in process mapping techniques, designing experiments using 2d and 3D Cad modeling, graphical analysis of data, planning and scheduling.
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Additional for Data Engineer Specialist(s)In this role you will be working with our customers to ensure that they are leveraging our Data Platform efficiently and effectively. Job#: 2038983 Job Description: Location: Hybrid to SE MI or Palo Alto, CADuration: 12 month contract to hireDescription:We are seeking a talented Full Stack / Site Reliability Engineer to play a key role in developing a comprehensive Internal Developer Platform (IDP) that includes CI/CD pipelines, managed infrastructure, observability, and a developer portal.
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Minimum 7 years of experience working as an electrical engineer designing electrical power distribution and lighting systems for new and renovated laboratories, data centers, government, higher ed, and other critical building types.
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Work Closely with the Ford Credit Architecture development and research in building out new analytics and big data technologies for Global Analytics using the Google Cloud Platform (GCP) Role: Full-Stack SAS Software Engineer.
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Electrical equipment types included, but not limited to low, medium, and high voltage switchgear, panelboards and transformers, data and communication systems, fire alarm systems, lighting systems, electrical appliances, etc.
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Assess warranty data and returned parts to monitor trends and action any quality actions in the field for Core ADAS components. Develop and release Core ADAS Sensing components/ modules technical documentation: ESOW, Engineering Specifications, System Design Specification requirements, EMC test Plan, DFMEA, DVP&R, SCCAF, etc.
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Data Dynamo: Familiarity with databases like MongoDB and MySQL, along with web technologies like PHP, JavaScript, NodeJS, and jQuery. You’ll be more than just another engineer – you’ll be a key player in a team that’s redefining what’s possible in embedded systems.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Software Engineer Position Overview At Ford Motor Company, we believe freedom of movement drives human progress. Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
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Be able to identify root cause, and development and implement ICA/PCA solutions Use machining monitoring data and system flow analysis to identify assembly system bottlenecks and develop reaction plans to address.
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Perform HIL/SIL, on-road, emissions, and/or dynamometer data collection to validate and calibrate diagnostic monitoring capability of new powertrain technologies. Perform HIL/SIL, on-road, emissions, and/or dynamometer data collection to validate and calibrate diagnostic monitoring capability of new powertrain technologies.
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Integrating microservices with various data sources, including relational and non-relational databases, to store and retrieve metadata related to vehicle software updates. Collaborating with front-end developers to ensure seamless integration and efficient data exchange between the backend and frontend components.
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Develop and implement improvements to control systems and equipment using Factory Information Systems (FIS) data. Review supplier tooling and conveyor designs for compliance to the VOSS, for both hardware and programming.
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data engineer jobs in Dearborn, MI
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