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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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In-depth knowledge of AI/LLM and machine learning architectures and best practices for securing them. 3+ years of experience in a dedicated application security role with focus on establishing secure SDLC and DevSecOps processes.
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Must have some hands-on working experience with Jenkins CaC/Job DSL, Groovy, JSON, YAML, Ansible, Git, and familiarity with at least one major CSP (Azure/AWS/GCP/OCI) and its core service offerings.
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. SIT Study Abroad offers accredited summer and semester undergraduate programs in Africa, Asia and the Pacific, Europe, Latin America, and the Middle East, as well as comparative programs on multiple continents.
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Our world-class curriculum is built upon the Mathnasium Method the result of decades of hands-on instruction and development and has changed the lives of children since 2002. Description: Across North America and all over the world, Mathnasium Learning Centers are committed to helping students achieve their full potential in math.
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The Strategy and Learning Manager will help develop and assess the progress of program strategies and grantmaking focused on understanding how data-driven policies and new technologies can help reduce barriers to voting, improving integrity and public trust in the electoral system, and reducing the dependency of our leaders on special financial interests.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Knowledge, skills, and relevant experience in one or more of the following is required: designing and implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, and data engineering.
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Additional activities include: learning and staying informed on the complex and comprehensive Research & Learning product line; learning and following a comprehensive sales process; updating and managing sales pipeline information for an assigned list of accounts; managing time and resources effectively; representing Wolters Kluwer within the industry and territory; and contributing to sales planning and forecasting activities.
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Strong hands-on experience with Java, Spring Boot, Microservices, Rest API, Soap, Kafka, Angular, Flutter, Kibana, CI/CD pipelines, PL/SQL, PostgreSQL, or DB2. The Architect, Connected and Intelligent Solutions – Service Provider is responsible for driving architectural initiatives for the Connected and Intelligent Solutions – Service Provider Portfolio to deliver business outcomes.
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REACT, Angular JavaScript / ECMAScript, Perl, Python C# ASP.NET MVC, WEB API Hands-on experience with cloud technologies and deployments Hands on experience with data integration and orchestrations techniques, processes and tools such as Databricks, Kubernetes, etc.
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PhD in applied mathematics, machine learning, natural language processing, or computational linguistics, with 10 years of professional experience. We seek a Principal Scientist with exceptional experience in artificial intelligence (AI) and large language models (LLM) to join our team and work on adapting and translating advances in artificial intelligence and large language models into impact for underserved and vulnerable populations.
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Reporting to GDI Africa's CEO, the Global Learning Lead will apply a mix of strategy consulting toolkit, management experience and development ambitions to successfully deliver on the work.
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5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions. Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market.
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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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hands on machine learning jobs Title: solutions architect in Falls Church, VA
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