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Together, Appen and Figure Eight Federal, combine the best of human and machine intelligence to provide high-quality annotated training data that powers the world’s most innovative machine learning (ML) mission solutions.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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The adjunct Instructor, programming fundamentals and machine learning methods is responsible for teaching courses in the computer science/data science curriculum. The Machine Learning Methods course is offered both in Summer and Fall. It teaches students to apply linear algebra concepts in predictive modeling using Machine Learning techniques.
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Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Experience developing and working with Artificial Intelligence and Machine Learning (AI/Client) Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
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Overview: Quantum Research International, Inc. (Quantum ) is a certified DoD Contractor providing services and products to US/Allied governments and industry in the following main areas: (1) Cybersecurity, High Performance Computing Systems, Cloud Services and Systems; (2) Space and Ground Support Systems; (3) Aviation Systems; (4) Missile Systems; (5) Artificial Intelligence/ Machine Learning Systems and Experimentation/Training; and (6) Audio Visual Systems and Services.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Requirements: Education: Bachelors degree with 5 years of experience in designing developing and deploying machine learning models using Databricks Azure ML or Palantir. Key Responsibilities: Design Develop and Deploy ML Models: Create scalable productionready machine learning models using platforms such as Databricks Azure ML or Palantir for diverse enterprise applications.
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Located at Watlow’s technology and development center in St. Louis , co-op participants will work on impactful projects in creating machine learning capabilities (neural network) to help improve predictability in our simulation models.
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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Our team is applying space-specific services like AWS Ground Station, along with other AWS capabilities like edge computing, artificial intelligence, and machine learning, to the aerospace market.
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Industry experience in Software Development/Engineering, Artificial Intelligence, Machine Learning, and Semiconductor Manufacturing & Packaging preferred. Registered Patent Agent with the USPTO.
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machine learning jobs in St Louis, SD, New York
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