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More specifically, you will: Design and implement machine learning algorithms that process image or time-series data measured by various sensors in different Apple products Deploy Apple's massive computing platform with thousands of GPU's and CPU's ready just for you to establish scalable, efficient, automated processes for large-scale data analyses, model development and model validation.
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LotusFlare has 2 key product lines:Nomad eSIM, a market leader in providing consumers and businesses with eSIM-based mobile data solutions in over 180 countries. Nomad is a service for travelers to purchase international data plans for over 180 countries.
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This includes scalable data storage that holds PBs of genomics data, high performance compute clusters running a custom bioinformatics pipeline in production and R&D environments, and the software infrastructure that hosts an ecosystem of services for internal data processing and external data integration.
$187,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Measure and interpret data across all demand generation and ABM tactics and report to the broader team. Make data-driven decisions to continuously optimize and drive customer acquisition, engagement, and retention.
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The aim of this role is design preclinical research, execute experiments, analyze data, and collaborate with cross-functional teams. Data analysis software such as GraphPad, Prism, etc. This opportunity is ideal for candidates that have either a PhD Diploma or Master's Degree with 2+ years of experience in gene editing within ophthalmology: in vivo, ex vivo, in vitro.
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Strong background in electrical engineering and designing data centers including ancillary power [EM1] distribution systems including but not limited to substations, HV, LV switchgear, MCCs, cable sizing, single line diagrams, area classification, grounding, lighting, cathodic protection, and electrical heat tracing in hazardous and non-hazardous areas.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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From creating modern consumer experiences to advanced cyber protection, cloud operations to GenerativeAI, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots.
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Experience in development of imaging and CV or related signal processing algorithms (e.g. OpenCV, Eigen, Halide, Game physics and 3D graphics, CODECs, or Communication) Experience with low-level SW optimization at instruction level, loop optimization, vectorization, data organization and caching.
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Understanding of implementation of architecture within Azure Big Data Analytics Al tools. · Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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Big data experience: experience in container technology (docker, kubernetes); hands-on ML systems/ADAS related experience. Develop big data application for ADAS. Work with other big data engineers, infra engineers to build state of the art ML engineering platform.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions.
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Processes identification data onto the exposed imaging plate and prepares the image for reading by the radiologist using image processing film or Picture Archive Communication System (PACS). Salary within our ranges may also be determined by your education, experience, knowledge, skills, location, and abilities, as required by the role, as well as internal equity and alignment with market data.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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Monitor internal controls within Oracle Cloud HCM and ERP to ensure data integrity and compliance. Platform Security professionals develop and deliver solutions - including design and implementation of Oracle application Security Roles, Segregation of Duties Analysis Rules, Security Role Provisioning solutions, Security Workflow, Security Analytics, Enterprise GRC Solutions, Automated External Application Scanning, and Automated Source Code Analysis - that minimize the impact of internal and external manipulation of applications to access, steal, modify, or delete sensitive data.
$220,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Coding for Linux kernel driver and application implementation for hardware initialization, configuration, data transfer including DMA and interrupt handling, etc. Define software application and driver requirements, build required OS environment and boot process in embedded processor and desktop computer/server, implement SW drivers and application software for high-speed interface IPs running in FPGA based prototyping platform on x86, Arm, RISC-V, and Arc processors under Linux, Windows OS, or BareMetal.
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