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Extensive experience with Azure Databricks, Apache Spark, and Big Data technologies. Databricks Certified Associate Developer for Apache Spark. Integrate Azure Databricks with other Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Exposure to AWS cloud services and running Apache Spark applications. In this role, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines and supporting data scientists in their projects.
$30 - $40 an hourPart-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Industry experience using TensorFlow or Pytorch, and open-source software libraries to develop Representation Machine Learning Systems, e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Large Language Models; Image understanding; Document classification and keyword extraction.
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AWS Cloud Engineer w/ Machine Learning Ops. Experience with building data pipelines in getting the data required to build, deploy and evaluate Client models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
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Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models. Hands-on experience in NLP algorithm development, machine learning, and deep learning for text analysis and processing.
Full-time/part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The role is integral to the success of CVPH, AHMC, HR Function, Shared Service Centers of Excellence (COEs) and provides deep expertise, thought leadership and partnership regarding the design, development, and deployment of our people strategies; while partnering with our COE and Partner leadership to design and manage enterprise-wide employee solutions.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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In depth knowledge in SQL, Azure Databricks, Azure data factory, Azure Storage Services, Scala, Python, and Apache Spark, DevOps & GIT. Implement data processing solutions using technologies such as Scala, Python, and Apache Spark, and ensure scalability, reliability, and performance.
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Experience optimizing the model training process for deep learning frameworks such as PyTorch, Tensorflow, Keras or similar. As a Senior Machine Learning Engineer, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels.
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Technologies & Skills: Java, Apache Spark, Delta Lake, Spark SQL, MySQL, Kafka, drools, Spring Boot, REST APIs, Maven, Jenkins, Docker, Kubernetes. Experience in developing data pipelines using Apache Spark (Big Data Processing.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with large scale, distributed training on GPUs (e.g., Nvidia, AMD) and alternative deep learning accelerators. Composer: Large-scale distributed deep learning training library.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
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