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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Serve as the top technical expert in deploying, upgrading, troubleshooting Artificial Intelligence/Machine Learning/High Performance Compute Solutions platforms. 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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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. Expertise in Kubernetes, OpenShift, Docker, Container Networking, and Cloud Native Platform/ Applications.
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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. The Senior Principal Engineer will assist with process maturation, development, technical standards creation, and drive operational excellence through consistent delivery and best practices.
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Senior Principal Engineer Site Reliability. 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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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.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Dell’s Flexible & Hybrid Work Culture. The ideal candidate will play a crucial role in managing and supporting complex solutions and platforms for our prestigious Fortune 100 clients.
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Current Tech Stack: AWS, Redshift, Databricks, Python, DBT, Spark, Airflow, Kafka, Kubernetes, LightGBM, MLFlow, Metabase. AData Science and ML Platformteam with 6 Data Scientists / ML Engineer working on ML-driven data products: Autobidder for User Acquisition, N-Testing for experimentation.
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As a Senior Machine Learning Engineer, You Will Be Building a Platform That Accelerates Drug Discovery With Machine Learning For a Wide Variety Of Use Cases With Respect To Data Modality, Model Architecture, And Model Size. By Leveraging Your Experience In Machine Learning, Software Engineering, Infrastructure, And Data, You Will.
$170,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
Full-timeExpandApply NowActive JobUpdated 6 days ago
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