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The Cloud Engineer is responsible for designing, implementing, and supporting the foundational Morgan Stanley AWS infrastructure including but not limited to AWS organizations/accounts, Landing Zone, networking, security, identity, and targeted business applications/integrations.
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Experience with React / Typescript / GraphQL, Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform, and CI/CD. Familiarity with cloud-native services, especially AWS services such as DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide frontline Cloud operational support, incident management, and administration for Morgan Stanley (AWS, Snowflake, MongoDB Atlas, Confluent Cloud) AWS Cloud Architect Associate certification or equivalent.
$75 - $85 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, implement, and maintain data infrastructure using technologies such as Spark, Airflow, dbt, and Google Cloud Platform (GCP) services like Cloud Composer, Pub/Sub, and BigQuery and/or comparable AWS services.
$300,000 - $485,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
$136,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications (e.g.: Kubernetes and Cloud Native Associate (KCNA), AWS Developer Associate, AWS Sysops Administrator Associate, AWS Solution Architect Associate, etc.) Strong working knowledge of leading AWS cloud security practices.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Amazon Web Services (AWS), Kubernetes, Terraform, and infrastructure as code (IaC) best practices. Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Broad experience deploying production-grade machine learning solutions on-premise or in the cloud.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Keywords: Seattle WA Jobs, Site Reliability Engineer, Python, Django, Terraform, Ansible, Chef, Puppet, Linux, Systems Administration, Network Administration, Cloud Security, Networking, Washington Recruiters, Information Technology Jobs, IT Jobs, Washington Recruiting.
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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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Proven experience with LoadRunner, Selenium, Docker, Kubernetes, Jenkins, Azure DevOps, Veracode, MSFT Power Platform, MSFT Power Automate, and cloud platforms (Azure/AWS). Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, Certified Kubernetes Administrator) are a plus.
RemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Based on Cloud infrastructure and services such as Azure,GCP,AWS cloud platforms and Onpremise. Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks.
Full-timeExpandApply NowActive JobUpdated 2 days ago
infrastructure machine learning aws cloud engineer jobs Company: Metropolis Technologies in Seattle, Troy, New York
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