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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Familiarity with the MLOps , machine learning lifecycle and product landscape, for example: Amazon SageMaker , Apache Airflow, Looker, Trifacta etc. Wide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learning.
$76,848 - $130,642 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
$152,737 - $206,645 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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2+ years experience working with Learning Management Systems (LMS) such as Cornerstone, Thinking Cap. Design and develop creative, learner-centered, performance-based training materials in multiple modalities including eLearning, blended learning content, videos, tutorials, etc.
$66,800 - $142,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer. Collaborate with cross-functional teams to share knowledge and promote continuous learning related to DevSecOps practices.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
$70 - $80 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Machine Learning Engineer III will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications.
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Experience with cloud platforms, particularly Google Cloud Platform (GCP), for deploying machine learning models. Work on the development and deployment of APIs and microservices to support machine learning models and data pipelines.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning. Capture and share best-practice knowledge amongst the worldwide AWS solution architect community.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including Super Computing Centers, physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Experience as a Software Engineer, System Administrator, or DevOps Engineer.
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Cloud Computing: Knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure ML, Hadoop, Microsoft Azure, Databricks, AWS, and Google Cloud. The ideal candidate will provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission-critical decision-making for Compliance-Complaints.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Chantilly, VA
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