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Koko Home is seeking a Data Pipeline Engineer to develop and maintain data pipelines from our IoT devices all the way to our model building infrastructure. Experience in pyTorch / Lightning, TensorFlow, JAX, MLX a big plus.
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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.) You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Apache Spark : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Spark, Hadoop). We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan. The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers.
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Lead clinical data management oversight of outsourced clinical trials for Sagimet clinical trials including project management, vendor management, coordination of internal reviews, and approval of day-to-day data management deliverables.
$130,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Incharge of design, setup and maintenance of data infrastructure include but not limited to databricks, ElasticSearch, Kafka, ScyllaDB, CloudSQL, RDS, DynamoDB, etc. Join this highly motivated team to build and maintain data infrastructure in GCP, AWS to support our cutting edge SaaS security product.
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Familiarity with data warehousing, ETL processes, and big data technologies like Hadoop, Spark, and Kafka. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Have some experience with big data systems, like Apache Spark, big data processing, big data processing, big data pipelines, HDFS, etc. Practical experience working with big data systems (Apache Spark, SparkSQL, HDFS.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Develop novel metabolomics & lipidomics sample preparation and data collection methods that further internal biomarker discovery effort. Basic programming skills relevant to metabolomics & lipidomics data analysis (i.e. Python, R, etc.
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In this role, you’ll be helping us to drive our PLG motion forward, surfacing insights from a wealk of our customer data, partnering directly with our growth teams on Marketing & R&D to build out our experimentation capabilities, and owning our data stack (Looker, DBT, Fivetran, Snowflake, Census.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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big data jobs Title: technology lead in Menlo Park, CA
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