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As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value.
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About Grafana Labs: There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France.
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Contributed to the open source community (GitHub, Stack Overflow, blogging) Build highly fault tolerant Golang microservices to add features and functionality to our Fusion product and its supporting ecosystem.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. At least 2 years experience in open source programming languages for large scale data analysis.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
$246,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 3 years' experience in open source programming languages for large scale data analysis. You're comfortable with open-source languages and are passionate about developing further.
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Their product is designed for open source intelligence analysts and corporate risk management professionals in a variety of financial crime prevention and third party risk management roles.
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Support data fusion from various data inputs and sources, including reported intrusion-network status from CSD Threat Hunting analysis, open source, and law enforcement and intelligence inputs to look for trends across CI.
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Our vision for this citizen-governed network: a composable, unified constellation of blockchains that can support internet-level activity; powered by the MIT-licensed open source OP Stack.
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Chrome is available across all major platforms - iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.
$178,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Has worked on an LLM (open source or commercial) that is currently available for use. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. At least 2 year of experience in open source programming languages for large scale data analysis.
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Demonstrates passion for developing LLM-powered products whether that is through commercial experience or open source projects you have worked on in your own time. You will work closely with our product and engineering teams to ensure that our chatbot provides accurate and helpful responses to user inquiries.
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