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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build. Experience using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.
$84,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working on OpenShift, Azure, AWS cloud for Oracle WebLogic/FMW. Hands on installing, clustering, migrating, and upgrading from Oracle SOA Suite to MuleSoft.
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4+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc.
$74,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This is a hands-on, technical lead role in the Advisory organization that will develop cloud-native services to support LPL’s overall cloud strategy and migration to AWS. Responsibilities: Lead and participate in the design, architecture, and development of solutions using modern cloud-based architecture and tools Accountable for redesigning legacy systems from on-prem to cloud-based solutions.
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Cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect) are a plus. You will lead a diverse team of cloud security engineers, cloud automation developers, DevSecOps engineers & application security engineers, focusing on securing, building solutions using the latest technologies to protect our multi-cloud footprint.
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This role involves working with state-of-the-art machine learning and deep learning algorithms, focusing on next-generation AI technologies such as large language models, generative AI, retrieval-augmented generation, LLM agents, and fine-tuning techniques.
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An Engineer with a passion for programming and knowledge in Cloud technologies such as Docker, Kubernetes, in general and AWS specific cloud components such as EC2, EKS, AWS Lamda functions, API Gateway, RDS. Engineer/Developer is expected to provide strategy and implement an enterprise scale service mesh and side car architectures with focus on scalability, performance, security and availability.
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Implementation of automated AWS cloud infrastructure provisioning using IAC(Infrastructure as code) and automated deployments for on prem and AWS server technologies. 5+ years' experience working with Terraform Enterprise, Jenkins, Ansible, Docker, Kubernetes, Gitlab, GitHub, Digital.ai and hands on experience with integration the tools.
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Microsoft 365 Fundamentals, Cisco Meraki CMNA, Microsoft Azure Fundamentals, AWS Cloud Practitioner, Google Cloud Digital Leader. The ASG Solutions Engineer - Managed Services is focused on supporting sales to drive growth of SHI’s managed services business by selling to new and existing SHI customers.
$65,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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What you’ll bring to Circle: 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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Strong hands-on experience in Core AWS Services like CloudFront, EC2, CloudFormation, Lamda, S3, Route53, AWS CDK,SNS & SQS. Strong hands on experience and In depth knowledge of key AWS Services like CloudFront, EC2, CloudFormation, Lamda, S3, Route53, AWS CDK,SNS & SQS.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The Level 2 Systems Management Specialist role is focused on providing technical support of the IBM Technology Zone portal, content, and infrastructure, inclusive of IBM Cloud, AWS, Azure, AIX, Red Hat OpenShift, and VMware.
$102,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine learning hands on aws cloud jobs Title: engineer in Austin, TX
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