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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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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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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques. Collaborate with data scientists and machine learning engineers to support model development through data preparation and analysis.
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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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Maintain employee and project Concur master file and upload into Concur on a frequent basis for employee travel and expenses. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
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Develop solutions integrating Microsoft Azure commercial clouds (public and government community) with services hosted on-premise and in other clouds. Define and establish secure cloud configurations, including integration with on-premise SIEM. Establish federated identity solutions between on-premise and commercial clouds.
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Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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3+ years of experience in a dedicated application security role with focus on establishing secure SDLC and DevSecOps processes. In-depth knowledge of AI/LLM and machine learning architectures and best practices for securing them.
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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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Amazon Web Services (AWS) is looking for a Senior Specialist Solutions Architect who will be the Subject Matter Expert (SME) responsible for helping customers succeed by adopting and building the most efficient compute architectures such as, scalable, and highly-available yet cost-effective architecture on the cloud, leveraging EC2 Graviton instances, Spot Instances, and Autoscaling Groups.
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The AI/MLOps Engineer (AMOE) is an applied solutions expert who combines working knowledge of software engineering, machine learning, and DevOps best practices. enjoys learning across the tech stack, from new developments in DevSecOps and automation to machine learning and artificial intelligence.
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If this position title includes the label On-Campus FWS or Off-Campus FWS, it is for students with a Federal Work Study (FWS) award for the current school year ONLY. Applicants to these positions will be required to verify this by attaching their FWS Program Student Statement as a required document.
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on machine jobs Title: solutions architect Company: Databricks Inc in Falls Church, VA
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