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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. 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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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. Being open to work across a diverse set of Task Types (eg Maps, News, Audio tasks, Relevance.
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To develop deep financial intelligence insights, you will explore new data sources, build effective queries, and combine information from disparate sources including intelligence reporting, open-source information, regulatory filings, financial transaction data, blockchain transaction tracing, and more.
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Develop, program, and maintain applications using the Apache Spark open-source framework. Good knowledge in technical concepts Security, Transaction, Monitoring, Performance.
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Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
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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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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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The Homeland Group is looking for a TOP SECRET-cleared Open Source Intelligence Monitoring Analyst to support our US Government Customer. Completed Open Source Intelligence or advanced internet research training course.
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Leading and supporting a diverse portfolio of investigative projects including but not limited to open-source and public records due diligence, FCPA investigations, complex investigations, business intelligence, market entry research, etc.
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3-5 years of experience in application security testing and source code review. Key responsibilities include static and dynamic source code reviews using tools like SAST, DAST, and SCA. You’ll also leverage threat modeling and attack pathing to validate and enhance the organization’s security controls.
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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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4+ years of experience in open source frameworks. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code.
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As a patent attorney within this practice, you will likely deal with a broad spectrum of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), enterprise and mobile applications, databases, web and cloud services, operating systems, software user interfaces, open source, 3D graphics, grid computing, networking, telecommunications, network protocols, IEEE standards, network security, etc.
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Understanding of Machine Learning Operations (MLOps) practices, including DevOps principles such as IaC, containerization, and CI/CD pipelines. Experience with machine learning, including model development, evaluation, and optimization using tools and packages such as sklearn, NumPy, PyTorch, or TensorFlow.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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machine learning open source jobs Title: technical program in Washington, DC
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