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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
$159,100 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Serve as the top technical expert in deploying, upgrading, troubleshooting Artificial Intelligence/Machine Learning/High Performance Compute Solutions platforms. Join us to do the best work of your career and make a profound social impact as a Senior Principal Engineer - Site Reliability Engineering on our Service Delivery Team in Austin, Texas.
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The Senior Principal Engineer will assist with process maturation, development, technical standards creation, and drive operational excellence through consistent delivery and best practices. Senior Principal Engineer Site Reliability.
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Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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Expertise in Kubernetes, OpenShift, Docker, Container Networking, and Cloud Native Platform/ Applications. Manage and maintain container platform (Kubernetes, OpenShift) infrastructure, including installation, configuration, and upgrades and optimize system performance, capacity, and availability of the environment.
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Certified Kubernetes / OpenShift Admin, NSX T Certification. Programming experience with Python, Go, Ruby, Shell Scripts, PowerShell along with hands on experience with ELK, Prometheus, Grafana, Ansible, Git, or similar technologies.
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Act in the capacity of an SRE / DevOps expert. BE or MS in Computer Science or Computer Engineering or acceptable combination of equivalent industry experience will be considered. We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way.
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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You'll code with machine learning languages like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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We are seeking a biologist with a strong understanding of therapeutic discovery and machine learning – particularly natural language processing (NLP) and large language models (LLMs) – to help guide and implement internal strategy for leveraging and developing such platforms.
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Expert-level knowledge of cluster provisioning and resource schedulers. The role will be expected to work in a positive and collaborative fashion with fellow team members, senior engineering/architect staff, vendors, and customers.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
$240,000 - $300,000Full-timeExpandApply NowActive JobUpdated 4 days ago
machine learning jobs Title: principal
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