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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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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc. Knowledge of modern cloud-native application design principles, DevSecOps, Infrastructure as Code (IaC), CI\CD Pipelines.
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JOB TITLE: AWS Infrastructure Architect for a OnPrem to Cloud Migration. Our client is moving a large ecosystem from OnPrem to the AWS Cloud so we need someone. who has done a migration where the infrastructure was not in the cloud and will be with AWS.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) 2+ years of experience working with cloud based or on-prem SIEM products (Splunk, Elastic, ArcSight, QRadar, Sentinel, Securonix, LogRhythm.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Security: Proficiency in cloud security and experience with cloud service providers (e.g., AWS, Azure, Google Cloud, O365) and SaaS Data Security, knowledge of secure cloud architecture design, cloud data protection mechanisms, and cloud identity and access management (IAM.
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Experience with cloud technologies like Terraform, Docker, and AWS (especially EC2). Occasionally contribute to and review local and cloud developer environments. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Extensive experience in cloud migration projects, with proficiency in cloud platforms such as Azure, AWS, or Google Cloud. Technical Expertise and Guidance: Utilize deep technical knowledge in cloud technologies, data management, and healthcare systems to guide project decisions and overcome technical challenges.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Synapse, Redshift.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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Implement and maintain machine learning solutions within Azure cloud environments, ensuring scalability, performance, and security. Proficient in building and deploying web applications using Streamlit, Flask, and FastAPI. Familiarity with the deployment of scalable machine learning models in a production environment.
$110,000 - $130,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leveraging your significant experience in information security, cloud architecture and engineering, vulnerability management, and DevSecOps practices, you will be expected to broaden and sharpen our capability to manage the incoming security engineering needs while rapidly surfacing, driving down, and reporting on vulnerabilities across our AWS, GCP, and Azure environments.
$150ExpandApply NowActive JobUpdated 2 days ago
machine learning aws cloud jobs Company: Prgx Global Inc in Atlanta, CA, Arkansas
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