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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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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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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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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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3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
$82,100 - $172,400 a yearFull-timeExpandApply NowActive JobUpdated Today - 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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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions.
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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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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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The Junior DevOps Engineer will create, deploy, monitor, scale and secure infrastructure and applications using automation tools like Terraform, Ansible, and Helm. This role will work with other engineers to evolve the company’s current cloud and infrastructure using Terraform and Kubernetes.
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Keywords: Cloud Infrastructure, Cloud Operations, CloudOps, SaaS, Hosting, Public Cloud, Amazon Web Services, AWS, Automation, DevOps, SRE, CDK, TypeScript, Python, SQL. 2+ years building infrastructure-as-code solutions using AWS Cloud Development Kit (CDK) written with TypeScript or 2+ years writing TypeScript, Node.js or another JavaScript language.
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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.
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Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools. Experience with big data, distributed systems, cloud platforms (Hadoop, AWS, Spark, Kafka, etc.
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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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machine learning aws devops jobs Title: devops engineer Company: Pri in Reston, VA
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