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The teamAs a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement. Analyze unstructured and/or structured biological data from biosensor clinical trials and evaluate biosensors performance to support product designs.
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Integrate Archibus with other enterprise systems, including AutoCAD, BIM, and other data sources. The ideal candidate will have experience in IWMS systems, specifically Archibus, and possess a strong background in software engineering, data integration, and system optimization.
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Understand the performance and functionality requirements our ICs must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
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Job Req ID: 25018 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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The Interdisciplinary Aerospace Engineer will support aeronautics research within the Aviation Systems Division (Code AF) at NASA Ames Research Center. Conduct analysis on simulation or flight test data to compare the AAM airspace performance against system performance metrics.
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Certification in one or more of the following technologies: Microsoft Azure Solution Architect, Microsoft Azure Administrator, Google Professional Cloud Architect, Google Associate Cloud Engineer, AWS Certified Solutions Architect Professional, AWS Certified Solutions Architecture Associate, AWS Certified SysOps Administrator Associate.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bring your knowledge of computers and networking and take it to a new level in any one of the following product categories including: cloud, social, mobile/wireless, video, VoIP, large data, collaboration, web, Internet of Things, routing, switching, IPv6, data center, HPC, Telepresence and many more.
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JOB REQUIREMENTS Looking for a Lead Data Engineer, Data Platforms who can operate across the enterprise to ensure on-time, high-quality delivery of products and features that directly drive our business.
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The candidate will work on building, scaling, and monitoring Data science and Client hosting platform based on Databricks. Assist in N/W, Data security, IAM initiatives. The candidate will be responsible for defining and implementing our Data platform, Data science workbench with Client hosting technology strategies in the Cloud.
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We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities Engineer. DoD Military Skillbridge - Data Center Facility Engineer (HVAC, Mechanical, Electrician, Security Systems)Equinix is the world’s digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks.
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Professional certifications such as Certified Reliability Engineer (CRE), Certified Maintenance & Reliability Professional (CMRP), Professional Engineer (PE), Chartered Engineer (CEng), or Project Management Professional (PMP.
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Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more. Job Description:Machine Learning Engineer (Recommendation/Text/Deep Learning)San Francisco, CA, USDescriptionMachine learning is at the core of our company's mission to make the world’s laws free and understandable.
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We want you to join us as a full-time Senior Data Engineer into our Data Pipeline team. You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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engineer data jobs in Santa Clara, CA
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