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ResponsibilitiesYou will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.
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Engineer resilient systems that support 24x365 uptime at a 99.95% availability level. w/AWS data services, including RDS Aurora, ElastiCache, Managed OpenSearch, S3, MSK. Redis, Kafka, Flink, Databricks.
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As a Lead ML Ops Engineer, you will work on the Retail side of the company and drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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Prior experience in a tech ops, dev ops, or site reliability engineer role and a degree in computer science or a related engineering discipline are preferred but not required. The D. E. Shaw group seeks an outstanding technical operations specialist to join our elite trading systems ops group.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Engineer will ensure NERC CIP password requirements & configurations are met during commissioning of new relay systems. Under the general supervision of the Protective System and Testing Section Manager, the Engineer will be active in and be responsible for bench testing on new microprocessor-based relay upgrades.
$135,000 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Reporting to the Director of Professional Services, Imagen requires an outgoing and ambitious Dev Ops Engineer to help implement customer projects. The Dev Ops Engineer is a broad role with scope to get involved with both technical issues and the company’s customers.
$151,600 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Inviting applications for the role of ML Ops Engineer. ML Ops Engineer. 8+ years of experience in ML Ops or related areas, such as DevOps, data engineering, or ML infrastructure.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We read batch daily data from SQL tables and present them to the user in awesomely intuitive products, which are built on a shared, unified platform.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The AI/ML Engineering team at Prudential Financial is looking for a highly skilled Senior DevOps/MLOps Engineer to join a diverse team dedicated to providing best-in-class data services to our customers, stakeholders, and partners.
$201,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Engineer II - Reliability Ops. You will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.
$143,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
$200,050 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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I, Shakib (i3 infotek) would like to share a job opportunity as IoT Ops Engineer based in New York, NY (Onsite) location for a Full-time position. IoT Ops Engineer. Integrate and onboard IoT devices onto the Network using DNA Center for seamless connectivity and ensuring optimal functionality.
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We are seeking a highly skilled and experienced MLOps Engineer to join our team in USA. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Azure Cloud Deployment: Deploy and provision the Azure-based platforms/infrastructure according to the design and architectural guidelines.
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Certification in cloud computing (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer) is a plus. Proven experience as an MLOps Engineer, specifically with Azure ML and related Azure technologies specially Azure Container Apps experience.
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Title: ops engineer in New York, NY
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