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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months experience or academic work using open source programming languages for data analysis.
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HLSL) Experience with machine learning and neural network frameworks on GPUs in Linux Basic knowledge of deep learning frameworks and algorithms 3rd party and subcontract staffing agencies are not eligible for partnership on this position.
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Open Source Research and Strategy Consultant. Ability to comprehend complex requirements, ask analytical questions, and find information through open source or market research to answer those questions.
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Indicators of Compromise (IOC)s will be obtained through: forensic analysis of digital information, Open-Source Intel (OSINT) review/monitoring, available tools both customer provided and open source, and pivoting/researching on previously reported IOCs. Recommending adjustment of countermeasures, enterprise or tactical, to account for threats.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Guidehouse is seeking an Open-Source Intelligence (OSINT) Analyst to support a complex project providing technical and advisory services to the Department of State. FOUR (4) years of relevant experience in open source intelligence.
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Overview:IntelliBridge is an award-winning national security company looking for an Open Source Platform Support Specialist to support a federal law enforcement client’s Open Source Intelligence Program focused on detecting threats to specific people, locations, and events.
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Programming Languages: Python, R, or similar for AI and machine learning development. Serve as a trusted advisor to decision-makers, offering consultative insights on how the Nvidia DGX AI platform and machine learning can be applied to their biological data challenges.
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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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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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Plan and coordinate the collection, processing, analysis, and dissemination of open-source intelligence as requested by investigative and protective intelligence operations, including operations in support of large-scale, multi-national events domestically and abroad.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
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