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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Familiarity with general HW concepts, Verilog RTL coding and simulations/debug, GPU and SOC Architectures, and Machine Learning/Deep Learning concepts. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
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Job Description: The artificial intelligence platform architect will lead the development of autonomous driving software solutions with modular design and integrated platform to handle machine learning and deep learning simulation systems.
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Experience of working with inters disciplinary teams Data Scientist , Machine Learning ·Engineers and Business Analyst. ·Technically leads proof of concepts to ensure feasibility of architecture solutions ·Deep understanding and working experience on advanced analytics, AI algorithms and ·Machine Learning techniques ·Experience in C/C.
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Opportunities in research and development exist in such areas as Machine Learning, Artificial Intelligence, Natural Language Processing, and Distributed Computing to support the Army command, control, communications, and intelligence capabilities of the future.
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Advanced knowledge of software architecture, application development, and technical processes with considerable in-depth knowledge in one or more technical disciplines inside the domains of cloud native architecture, artificial intelligence, machine learning, MLOps.
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Key Responsibilities:Define and evolve the organization's security architecture strategy, with a focus on incorporating Secure SDLC methodologies into Generative AI and machine learning projects.
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Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.
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SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer.
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Experience in data recognition / analysis technologies and how they are used in Machine Learning, Data Analysis, Artificial Intelligence, Cognitive Neural Networks, ECM-solutions, Document Management.
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You are results-driven and bring strong engineering skills and a deep understanding of modern technologies including Cloud-native technologies, APIs, Artificial Intelligence and Machine Learning.
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Strong knowledge of cloud computing, SaaS architectures, and modern technologies such as machine learning and AI.Prior experience with large healthcare, media, and entertainment or technology company.
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Knowledge with modern cloud computing platforms such as Data Warehouse, Integration, Lake, Function, Machine Learning & AI, API and Web. The Azure Architect role is a strategic position will partner with key stakeholders in the organization to create a leading edge, well-defined cloud foundation for solutions that are aligned with the firm's cloud strategy.
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3+ years of experience designing data architectures supporting machine learning and analytics platforms. 3+ years of experience leveraging the modern data stack, including workflow orchestration tools like Airflow, data management solutions, and open-source technologies for querying and managing open table formats (e.g. Iceberg, Hudi.
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Strong working knowledge of deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training, machine learning, and statistics. Experience coding in Python, R, Matlab, Java or other modern programming language.
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modern machine learning jobs Title: architect
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