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Halo Industries is seeking a Senior Optical & Laser Engineer Engineer. Experience programming instrument control, data acquisition, and/or motion control. Recent PhD or an MS with 3-5 years of work experience in Physics, EE, or Optics.
$135,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Have the chance to architect the next-generation of Cloud-Native Infrastructure for hosting highly complex workloads: Microservices, serverless applications, big data, machine learning, and distributed storage services, etc.
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Graduating with an advanced degree in Materials Science, Chemical Engineering, Chemistry, Physics, Nanotechnologies, Mechanical Engineering, Electrical Engineering or related field. Design both hypothesis experiments and design of experiments (DOE), analyze data with statistics and compile reports with high level conclusions on technically challenging process engineering experiments.
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Having depth and breadth knowledge of working in data center facilities in a large-scale distributed environment is a strength you'll need. You should have deep knowledge and experience in at least one of the following core areas: Project Management, Hardware Operations, Network Operations or Data Center Operations.
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The ideal candidate has 2+ years working with SQL and data visualization tools to query large data-sets (e.g. Presto/Trino, Spark SQL, Tableau, etc. 2+ years working with SQL and data visualization tools to query large data-sets (e.g. Presto/Trino, Spark SQL, Tableau, etc.
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The Bedrock AI Data Team in Amazon Web Services (AWS) is looking for a Language Engineer to collaborate in developing solutions for natural language data collections. The mission of the Bedrock AI Data Team is to engineer the datasets critical to the success of AWS’s Bedrock services.
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Big-data biology requires innovations in data analysis and visualization to catalyze interpretation and discovery. This is a great opportunity for candidates with a passion for both the quantitative analysis of big datasets and the development of compelling data visualization platforms.
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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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Taking an Intelligent Cancer Care approach, we are harnessing advanced technologies like artificial intelligence, machine learning, and data analytics to advance cancer treatment and expand access to care to help patients become survivors.
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Create revenue projection data for management review. Direct experience with SAP IBP, Tableau, Confluence, MS Project, Salesforce, and Visio. Manage and maintain S&OP process through an integrated business planner solution (SAP IBP.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Apache Spark : Develop the de facto open source standard framework for big data. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$166,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Proven experience conducting large scale data analysis and utilizing big data tools such as Maltego, Palantir, Tableau, etc. Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence.
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As a Sr. Staff Semiconductor Engineer, you will play a critical role in designing and developing cutting-edge software systems that enable Aptiv's advanced safety and user experience solutions.
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Working knowledge of Big Data areas like Kafka, Spark, Presto/Trino. · Strong knowledge of data modeling and design in NoSQL databases such as Aerospike, MongoDB, Cassandra, ScyllaDB, Redis or DynamoDB.
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physics engineer big data jobs in Mountain View, CA
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