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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Solving analytical problems and building models using quantitative, statistical or machine learning approaches.
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As a data scientist, you re excited at the prospect of unlocking the secrets held by a data set, and you re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Profound knowledge of supply chain technology and preference for experience in digital technologies such as automated manufacturing, robotics, artificial intelligence/machine learning is helpful.
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Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps. Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps.
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Our full-time employees enjoy: IRA Plan with Company contribution Medical, Dental, Vision, FSA/HSA Life Insurance, Disability Insurance Vacation, Sick Time, Holidays Choice of Global Cash Card or Direct Deposit Career Advancement Learning & Development Opportunities Inclusive and Diverse Team Environment Essential Functions: - Grasp textiles from a cart/bin then sort, inspect and grade according to quality standards.
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Demonstrated knowledge and experience with machine learning platforms from major providers (AWS, Microsoft Azure and Google Cloud) We are constantly learning and taking opportunities to grow our careers and ourselves.
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Description SAIC is seeking an Artificial Intelligence / Machine Learning Research Analyst in Honolulu, HI to support the United States Army Pacific Command (USARPAC) Task Order (TO) to lead research, analysis, and implementation services for emerging technologies in the USINDOPACOM theater within integrated ML, cognitive computing, cyber technology, and AI domains and provide solutions to leverage emerging data technologies while minimizing threats.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Interest for playing games and understanding their underlying elements, particularly RPG’s and First Person Shooters. You are a talented Game Designer looking to build the next generation of online, multiplayer games for Meta Quest.
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Strong working knowledge in applying data analysis algorithms (statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.
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Utilizing your expertise in software leadership, data management, data streaming, and visualization, you will help us solidly land the fundamentals, while enabling us to gain the advantages of recent developments in the AI and machine learning spaces.
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Familiarity with emerging technologies such as mobile apps, biometrics, IoT, and machine learning, and their potential applications in enhancing customer experiences. Familiarity with emerging technologies such as mobile apps, biometrics, IoT, and machine learning, and their potential applications in enhancing customer experiences.
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machine learning jobs in Honolulu, Maynard, Massachusetts
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