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Ideal candidate has knowledge in: Containerization, Cluster Administration, CI/CD Deployments, IAC’ed Bootstrap and Deployment ● Experience with Machine Learning Engineering (MLE); worked on deploying machine learning models and applications to Kubernete ● 6+ years working with AWS constructs, at least one major serverless application architecture/deployment.
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As a machine learning (ML) engineer on our Stategic Innovation team, you'll train, test, deploy, and maintain models that learn from data. Machine Learning Software Engineer.
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With deep technical expertise, Banjo Health is empowering enterprises to harness the full power of the cloud and emerging technologies such as generative artificial intelligence, machine learning, and natural language processing through robust solutions and first-party cloud-based products.
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Experience with one of the following machine learning frameworks: scikit-learn, pytorch, tensorflow. Applicants are not required to have experience in Machine Learning, however experience working in an Agile Software Development environment and experience with web development is preferred.
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Certified Artificial Intelligence Engineer (CAIE™) certification AWS Certified Machine Learning – Specialty Google Machine Learning Engineer Certification TensorFlow Developer Certificate Program Certified Artificial Intelligence Scientist (CAIS.
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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.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Google Machine Learning Engineer Certification. AWS Certified Machine Learning - Specialty. Knowledge of agile development processes and DevOps tools such as Jira, Bitbucket, Confluence About Sev1Tech LLC Founded in 2010, Sev1Tech provides IT, engineering, and program management solutions delivery.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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Palantir has been selected as the prime contractor for the development and delivery of the Tactical Intelligence Targeting Access Node (TITAN) ground station system, the Army’s next-generation deep-sensing capability enabled by artificial intelligence and machine learning (AI/ML.
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You will help in the creation and maintenance of a DevOps process for these efforts, from the basic data collection and preprocessing, to assisting with the frameworks to build and train models in AI and Machine Learning within a Research and Development environment.
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Design and develop software applications that integrate AI technologies, including Generative AI, machine learning, and natural language processing. In-depth knowledge of Azure Machine Learning for model deployment, management, and operationalization.
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Warfare Systems’ project domains include real-time automated test and analysis, virtual computing environments, Artificial Intelligence (AI) & Machine Learning (ML) based data analytics, cybersecurity, as well as backfit and forward-fit tactical solutions.
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Additionally, you may work alongside our Machine Learning Engineers to implement new Machine Learning advancements to legacy software applications. Experience with a software lifecycle management tool such as Azure DevOps or JIRA.
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Experience in implementing and optimizing machine learning algorithms and models. Implement and manage Azure DevOps pipelines for continuous integration and deployment of software applications.
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Familiarity with DevOps practices and CI/CD pipelines for automated deployment and testing. Continuous Learning and Adaptability: The candidate should have a passion for learning and staying updated with the latest industry trends and technologies.
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machine learning devops jobs Title: engineer in Alexandria, VA
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