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Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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As a Site Reliability Engineer, you will coordinate and enhance SRE practices for an array of storage solutions, emphasizing automation and a DevOps mentality to promote system resilience and user-centric self-service.
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Experience building CI/CD pipelines - w/ Azure Devops and GitHub. The Pearson Virtual Schools SRE team is looking for a Senior Site Reliability Engineer (SRE) to support our applications recently migrated from legacy data centers to the cloud.
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You’ll be a key member of CertiPath’s DevOps and Site Reliability Engineering (SRE) team, with day-to-day responsibility for continuous integration/continuous development (CI/CD) pipelines, environment management, critical network and host-level infrastructures, and cybersecurity infrastructures.
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Using RAG for improving NLP/LLM systems. Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
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DE designing and developing Continuous Integration (CI) and Continuous Delivery (CD) pipelines for enterprise Cloud solutions using GitHub, Azure DevOps, and Jenkins pipelines; developing platform automation, using PowerShell, YAML, and JSON; and automating infrastructure provisioning and configuration management, using Infra as Code technologies.
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Implements Information Technology Infrastructure Library (ITIL) practices, DevOps, and Site Reliability Engineering (SRE) practices and principles to best deliver software applications. We assist companies and non-profit organizations in delivering benefits to their employees.
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Strong understanding of the following verticals: IT Operations, DevOps, Application Monitoring, Enterprise Integration, Business Process Management, Decision Management, ECM, and RPA. Prior experience with AppDynamics, Dynatrace, Splunk, Datadog, ServiceNow, MuleSoft, Tibco, Pegasystems, Appian, etc.
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The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
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Test automation and Azure DevOps integration. Collaborate with the Scrum Team and DevOps to automate test cases to be incorporated in the CI/CD pipelines. Stream-processing systems such as NextGen Mirth or Spark-Streaming.
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We are looking for an Expert DevOps Engineer responsible for the integration code design, implementation and maintenance of modules or features of an application products. Experience in leading technical DevOps Engineers Excellent engineering skills – coding, debugging, designing, backend testing.
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Deep Learning frameworks such as TensorFlow or PyTorch. Marken is currently seeking an experienced Data Scientist to join our team, someone who is passionate about data-driven insights and has expertise in problem-solving, programming, statistics, machine learning, data analysis, data visualization, and exceptional storytelling skills.
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Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent). Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
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LLVM, TVM tensor expressions, or TensorFlow MLIR. CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations) with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with deep learning frameworks like TensorFlow or PyTorch. Broad expertise and understanding of AI, NLP, LLM, and generative AI trends. Experience with deep learning frameworks like TensorFlow or PyTorch.
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