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Certified Artificial Intelligence Engineer (CAIE™) certification AWS Certified Machine Learning – Specialty Google Machine Learning Engineer Certification TensorFlow Developer Certificate Program Certified Artificial Intelligence Scientist (CAIS.
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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.
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Experience in cloud-based platforms (e.g. Snowflake, AWS RedShift, Qubole, Azure); If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Your responsibilities will include building strong relations with AWS, Solution Providers, CrowdStrike's alliance, sales, marketing teams, and creating and leading campaigns focused on driving revenue, new logos and market penetration across the Corporate/SMB segment.
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5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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Senior AWS Solution Architect needs 8 years of experience architecting and implementing AWS cloud solutions. Experience with AWS DevOps for CI/CD pipelines. Experience with AWS cloud technologies and migration strategies.
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Active and relevant industry Certification examples: CompTIA Cloud+, AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals, etc., AWS Certified Solutions Architect. IAT II Certification examples: CCNA Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Reporting directly to the Superintendent, the Chief Academic Officer (CAO) sets and drives the strategic vision and direction for the instructional and pedagogical work at KIPP DC. The CAO is the leader and champion of teaching and learning and the teams who support teaching and learning- our STEM, Literacy & Humanities, Student Support Services, Knowledge and Learning, and Extended Learning and Enrichment teams.
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Manage cloud-based database services on AWS (RDS, EC2, S3, Redshift). Experience with cloud platforms, specifically AWS (RDS, EC2, S3, Redshift). Relevant certifications in database administration or cloud platforms (e.g., AWS Certified Database - Specialty, Oracle Certified Professional.
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The curriculum includes beautiful albums of age-appropriate culinary arts, purposeful movement for outdoors and indoors, and exploration of different art forms to engage children in creative learning.
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Infrastructure as Code (IaC) technologies such as AWS CloudFormation or Terraform. Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker.
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. World Learning provides a comprehensive and competitive benefits package that includes: medical, dental, vision, FSA/HRA, Life/AD&D, Short Term/Long Term Disability, EAP, Parking and Transit, 403 (b) retirement plan for full-time and eligibile part-time employees.
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Develop infrastructure as code (IaC) using tools such as AWS CloudFormation or Terraform. Certifications: AWS Certified Solutions Architect – Professional, AWS Certified Security - Specialty a strong plus.
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3+ years of experience engineering IAM solutions in AWS, Azure, or a large scale IdP implementation (Entra ID, Okta, Ping, etc). Securely connect 5000 employees to all corporate resources and connect 800 technology developers and engineers to resources across AWS, Azure, GCP, and an 8000 VMware IaaS infrastructure, all through a zero trust framework.
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