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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Build solutions by partnering with key stakeholders, including the IT, Information Security, Big Data and Enterprise Process Solutions teams. It is one of the core roles within the newly created Forensic Data Analytics Team within the Global Investigations and Digital Forensics Team.
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Ranked as the fifth most popular place to live in America, it’s no wonder that traveling health care professionals enjoy packing their bags for San Jose. Once a sleepy orchard town, the prosperity of Silicon Valley has transformed this area into a thriving city of fine restaurants, great shopping, world-class arts and culture, a state-of-the-art light-rail system and plenty of big-city excitement.
$2,019.6 - $2,326.93 a monthExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras. Experience working with large data sets and cloud computing (Hive, Spark, GCP, or Azure.
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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, The successful candidate for this role will work with a team of other electrical and mechanical-focused engineers performing maintenance and repair for our data center infrastructure.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etc. Stay updated with the latest industry trends and advancements in big data technologies, particularly in healthcare applications, and proactively suggest improvements to enhance data processing processes and tools.
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Data Integration and ETL: Develop and maintain data integration solutions using Salesforce APIs and BigQuery for the extraction, transformation, and loading of data from various sources into a structured data warehouse.
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Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.
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Experience with performance management, employee relations and data analytics/reporting. Analytical and data management skills with experience translating data into action planning.
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Familiarity with a large Tech company Suite, Workfront Strong knowledge in any of these areas is a big plus: After Effects or other motion/animation skills and applications Education and experience BA or MA in Graphic Design, Communication Design, Information Design, Digital Media Design, or another Visual Design field.
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Prefer previous experience designing dedication DMA engines, multimedia IPs (especially AI/ML applications), data storage, memory controllers, networking, image processing, interconnects, and/or low power design.
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LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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Develop and implement a cloud architecture for intelligent charging control of EVs. Perform evaluation of prototype, using EVs or real world big data of EVs. Work closely with other experts in Data Science, Optimization, Energy Systems, and Business to realize future service concepts of EVs.
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Strong knowledge and practical experience with big data technologies such as Hadoop, S3, Cloud Data Warehouse solutions (like Snowflake, Redshift, or Databricks). Keep abreast of the latest trends in data engineering and big data technologies.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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big data jobs Company: Enterprise Mobility in San Jose, CA
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