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Develop automated workflows using Apache Airflow and Astronomer to streamline data processing and improve efficiency. Experience Required: + years in data warehouse and + years in GCP Education Required: Bachelors in Science Education Preferred: Masters in Science.
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Design, build, and maintain scalable and robust data pipelines on GCP using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow. Proficiency in data pipeline tools and frameworks such as Apache Airflow, Cloud Composer, and Cloud Dataflow.
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Develop and optimize data warehouse solutions using BigQuery and other GCP services. Provide training and support to team members and stakeholders on data engineering best practices and GCP services.
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Experience with SQL, Python, and other programming languages commonly used in data engineering. Experience Required: 5+ years in data warehouse and 2+ years in GCP. Familiarity with data modeling, ETL processes, and data integration techniques.
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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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Assist with the planning, field data capture, processing and compilation of remote sensing data including stationary, mobile and UAV LiDAR sensors and cameras. Work with the latest software programs to complete calculations, CAD deliverables, GPS processing, LiDAR extraction and modeling.
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Certified Sterile Processing Technician through CBSPD or IAHCSMM. Skills Required 1. 3 Years Sterile Processing Technician experience, 5 years preferred. Posted job title: Central Sterile Processing OR Liaison FT Afternoons About Detroit Medical Center The Detroit Medical Center (DMC) is the leading academically–integrated hospital system in Metro Detroit, and one of the largest health care providers in Southeast Michigan.
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Experience in IDOC processing, APIs and SAP data migration projects. Microservices architecture to deliver large-scale real-time data processing application. Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data.
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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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Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems. Master focused in Computer Science / Machine Learning or related field. A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.
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These tools involve Matlab GUI, digital signal processing, communication with external instrumentation and control hardware, testing data processing etc. Demonstration of proficiency in Matlab programming involving multi-discipline, e.g. GUI, signal processing, controller communication, DAQ.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Bachelor’s and/or advanced degree in applied science (Geology, Earth Science, or Engineering) with an emphasis in hydrogeology. Experience with aquifer test data analysis and contaminant migration analysis.
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Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructure.
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Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale) Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization.
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data science processing jobs Title: science director in Redford, MI
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