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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Tooling for Machine Learning: data management, model training, validation and deployment (C. We use cutting-edge technology (deep learning, computational fluid dynamics, cloud-based computing) combined with advanced clinical expertise to revolutionize the treatment of coronary artery disease.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. 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, and from time to time, be asked to code or evaluate code.
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata’s people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
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DevOps ensures that the very centric machine learning services at TikTok have the highest level of availability, as well as creating highly automated systems and pipelines. Proficiency in at least one machine learning framework: TensorFlow, PyTorch or MXNet.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficiency in at least one machine learning framework: TensorFlow, PyTorch or MXNet - Solid background of algorithms and data structures. About The Team The Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.
$136,800 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
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Desirable experience of Machine Learning, Logic Apps, API Management, Service Bus, Event Grid, Data Factory, Azure Stream Analytics, Azure Analysis Services, Event Hubs. Experience with cloud automation, including CD/CI pipelines using PowerShell, ARM, Terraform, Kubernetes, Jenkins, Docker, GitOps, Azure DevOps.
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You will be exposed to technologies and concepts including but not limited to responsive web applications, native mobile apps, robotic process automation, document digitization, machine learning, artificial intelligence, webchat, email, SMS, gamification, and more.
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Skills: Expertise in Cloud design, architecture and development; Azure solution design, architecture and development, Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365.
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Applications: Elasticsearch with Machine Learning, Mattermost, Custom Authentication code, NGINX, Prometheus, Graphana, Kibana, pwick, TerraForm, Ansible and Docker.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Understanding of modern techniques in at least one of the following fields: Machine Learning, Deep Neural Networks, Natural Language Processing, or Voice/Speech Recognition. Proficiency with common devOps software: Openshift, Docker, QEMU, Artifactory, GitLAB or GitHub, Sonarqube, Ansible, terraform.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Recursion is revolutionizing the field of drug discovery by integrating Science and Machine Learning, and we are looking for a Senior/Staff DevOps HPC Engineer to join our pioneering team.
$160,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
machine learning jobs Title: devops
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