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Evangelize and drive enablement for AWS marketplace with CrowdStrike, AWS, and solution provider sales teams. CrowdStrike is seeking an experienced and dynamic AWS Marketplace Program Manager to drive and manage our strategic partnership with AWS Marketplace.
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5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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You'll have the opportunity to design and implement solutions to transform our core platform and services to their destination architectures as part of a top technology initiative in Capital One. You will be able to leverage a variety of modern technologies including Java, Kafka, AWS services, PostgreSQL, Snowflake, ML, etc to build and deliver those solutions.
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Minimum of 4 year’s of experience in Databricks engineering solutions on one of the Cloud platforms (Azure, AWS or GCP) Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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Experience with cloud services, particularly AWS, including Amazon S3, Amazon RDS, Amazon RedShift, Amazon ElasticSearch Service, Delta Lake, Neo4j, and/or Parquet. Leverage proficiency with AWS services, including Amazon S3, Amazon RDS, Amazon RedShift, Amazon ElasticSearch Service, Delta Lake, Neo4j, and Parquet for data storage, processing, and retrieval.
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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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AWS S3 Glacier Finance seeks a world class Senior Financial Analyst to be part of the Capacity and Efficiency team of a high-growth AWS service. As a pioneer in cloud services, AWS lets you apply data, creativity, and analytical ability to completely new challenges and opportunities.
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Develop infrastructure as code (IaC) using tools such as AWS CloudFormation or Terraform. Certifications: AWS Certified Solutions Architect – Professional, AWS Certified Security - Specialty a strong plus.
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Founded in 1976, FullBloom annually supports more than 170,000 children and 25,000 educators in over 1,100 school districts across three divisions, Catapult Learning, Specialized Education Services, Inc. (SESI), and Little Leaves Behavioral Services.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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5+ years of experience with architecture and engineering in major cloud services, such as AWS, Azure, or GCP, and with Kubernetes and Terraform. Cloud Architect Certifications in one or more CSP, such as AWS, Azure, or GCP.
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Develop and implement security standards and best practices for cloud infrastructure and solutions in AWS, Azure, OCI, and GCP cloud platforms hosted in FedRAMP and FedRAMP+ environments. Minimum of 10 years of experience in cloud security, with at least 5 years of experience in OCI. Experience with public cloud providers (certificate preferred) such as AWS and Azure in FedRAMP and FedRAMP+ environments.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with Cloud Enterprise, authorizing cloud systems, and Cloud services, including AWS, Azure, or GCP.
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