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Familiarity with a variety of software-relevant threats and hands-on experience with security controls (e.g., applied cryptography, DAC, MAC, ARM privilege levels, TEE, HSM, security co-processors.
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Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Our mission is to revolutionize retail intelligence through cutting-edge technologies, including deep learning artificial intelligence, offered as both Data as a Service (DaaS) and Software as a Service (SaaS.
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Should be familiar with UNIX and Windows environment Basic understanding of Verilog RTL, digital circuits, as well as a general knowledge and experience of the backend physical flow Laboratory experience, including hands-on use of equipment: Oscilloscopes, Signal generators, BERT, Logic analyzers, etc ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering LOCATION: Austin, TX #LI-ML4 At AMD, your base pay is one part of your total rewards package.
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Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies. As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
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You will be a key contributor for our eDiscovery Data Platform and responsible for both hands-on technical work to improve existing systems as well as guiding long-term enhancement and evolution in this space.
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A keen interest in staying up-to-date with the latest trends and advancements in machine learning, artificial intelligence, and cloud computing. Demonstrated ability to work on projects or coursework related to machine learning, data analysis, or data engineering.
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You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. Please read Accentures Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
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Hands-on experience with GCP data services, including BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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1+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
$122,000 - $153,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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In-depth knowledge and hands-on experience with Power BI, Power Platform, OpenAI, Azure, SSIS, SSAS, and Azure Data Factory. As the Senior Manager of Business Intelligence and Artificial Intelligence, you will be responsible for leading a team of BI and AI engineers to design, develop, and implement advanced analytics and AI solutions.
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Cloud, artificial intelligence, data analytics, and compliance aspects of cyber security development are among our consulting capabilities. At least 3 years of hands on experience with Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems.
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Intermediate knowledge and hands on experience with Artificial Intelligence tools and BI/reporting platforms such as QlikView, Qlik Sense, Tableau, Power BI, SSRS or Cognos.
$90,000 - $125,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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If Associate’s Degree, must have minimum 6 years work experience) Bonus points if you have: Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
$131,100 - $336,900 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Advanced degree (Master's or Ph. D.) in Computer Science, Artificial Intelligence, Machine Learning. Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
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