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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Center 3 (19075), United States of America, McLean, VirginiaManager, Cyber Risk & Analysis (Machine Learning) Capital One’s commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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Microsoft Certified: DevOps Engineer Expert. Experience in shell scripting, Python scripting and CI/CD tools such as Azure DevOps, design and implement continuous delivery pipelines that serve the purpose of provisioning non-prod and production environments.
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5 years of experience with build, source code management, and testing technologies (Eclipse, Maven, Nexus Artifact Repository, GitLab, Azure DevOps, Jenkins, and Ansible) 7 years of experience with build, source code management, and testing technologies (Eclipse, Maven, Nexus Artifact Repository, GitLab, Azure DevOps, Jenkins, and Ansible.
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DevOps Integration Engineer. Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, audio recognition, and large language models (LLM.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Experience with Azure DevOps CI/CD pipeline testing and deployment process Experience in DevOps tools like Azure DevOps, Jenkins, Maven, Git Work Location: US Based Remote. Integrate automation frameworks with CI/CD tools such as Azure DevOps Validate user experience and recommend UX improvements.
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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. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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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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machine learning devops jobs Title: devops engineer Company: Pri in Arlington, VA
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