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AWS Management and Government services, Past experience in supporting highly available applications hosted in AWS, AWS Cloud Administration, Terraform, Ansible, Amazon Machine Images (AMI), EC2 scripting, Lambda functions.
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As an experienced AWS DevOps Cloud Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. AWS Certification (AWS Solution Architect Associate, AWS Developer, AWS DevOps.
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Experience with designing and deploying AWS Services like Elastic Compute (EC2), Storages (S3, EBS, EFS, Glacier and AWS Storage Gateway) and RDS. Experience in Windows Active Directory design and implementation across AWS cloud environments.
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AWS Cloud Engineer w/ Machine Learning Ops. You are familiar with applied data science methods, feature engineering and machine learning algorithms. Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
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AWS Certified in Data Analytics, Machine Learning, or Solutions Architect Certification. Experience with natural language processing, text mining, or machine learning techniques and building engineering code using open source programming languages, including Python, R, or JavaScript.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Five (5) years of experience must include: DevOps; SRE; Security; Cloud computing (AWS); Jenkins; IAC; Code hosting platform (Git-hub, bitbucket); Jira, Confluence; Agile Framework; Incident Management; Product Management; Project Management.
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We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow.
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Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
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Professional (and/or) AWS Certified Machine Learning Specialty. + Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Good To Have Skills: DB Administration, DB Performance Optimization, Data Modelling, Risk Management, AWS Cloud Formation, Amazon RDS, Amazon Aurora, AWS CloudWatch, AWS Glue Catalog, Java 8, AWS DevOps, Amazon S3, AWS IAM, Apache Spark, Java, TSQL.
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As a DevOps engineer, you know how to set up cloud environments and provision computer networking, storage, and virtual networks-ultimately, how to "harness the cloud." As a DevOps engineer at Booz Allen, you'll work closely with cloud architects and engineers to manage server configuration for modern cloud solutions.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) 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 Today - UpvoteDownvoteShare Job
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As an experienced Senior AWS DevOps Cloud Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.
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machine learning aws devops jobs Title: devops engineer Company: Pri
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