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Required Skills: Linux/RedHat Enterprise Linux Administration, AWS Cloud, RedHat Satellite, Foreman, Ansible, Puppet, Docker, Kubernetes, Terraform, Veritas VCS & Pacemaker clustering, BeeGFS/GPFS.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Inspectors - AWS / CWI Certification. AWS / CWI certification required. Inspectors - AWS / CWI Certification. AWS / CWI certification required. NDT Level II required. We have an immediate need for Inspectors for our Brooklyn (NYSDOT Bridge project.
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Technical certifications (e.g., AWS Certified Solutions Architect, Cloud Certified Professional, Microsoft Cloud Certifications, CISSP, CISM, CIPP, GCIP etc. The candidate will be responsible for designing complex and innovative solutions addressing vulnerability detection, threat and risk analysis, network intrusion, securing technology assets across the application, infrastructure, cloud and data tiers and development/implementation of vulnerability mitigation strategies.
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5+ years of experience working on cloud platforms - Pivotal Cloud Foundry and Public Cloud AWS/Azure/Google Cloud. 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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Implements industry leading practices around cyber risks and Cloud security and perform security assessments of cloud platforms/environments using industry standard frameworks such as ISO, CSCSM and NIST.
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The Youth Worker will lead a group of 18-20 students daily in activities including sports, social-emotional learning, enrichment, and academic support programming. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks.
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Experience working with both Google Cloud Platform and Microsoft Azure is highly valued. Experience with Google Cloud Platform (GCP) is a bonus. Technical Skills Knowledge and Skill Requirements: Deep proficiency in full-stack development and hands-on technical implementation.
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Utilize Databricks for data processing, analytics, and machine learning tasks. The ideal candidate will have a strong background in SQL Server development, hands-on experience with Azure Pipeline, and proficiency in working with Databricks for data processing and analytics.
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Key Skills; Data Modeling, Master data management, Data governance, Data Migration from on premises to AWS Cloud, Power BI. Experience building enterprise data management solutions, including data lakes, data warehouses and data marts using dimensional modeling using cloud-based services (i.e. Databricks, S3, Redshift), preferably within an AWS environment.
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Minimum 5+ Years of Hands-On experience in the cloud security platforms such as AWS, Azure or Google (preferably engineering) Certification like AWS Security Specialty, Google Cloud Platform Engineer with focus on security, Azure Security, etc are preferred.
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Vertex AI Integration:o Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP.o Implement and manage machine learning pipelines and models within the Vertex AI environment.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Hands-on experience in roles such as software developer, systems analyst, or network engineer to build a technical foundation. Knowledge of Information Technology (IT) information and analytics platforms and products (e.g., DataBricks, Snowflake, Microsoft Azure, AWS, Power BI, Tableau, etc.
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machine learning hands aws cloud jobs Title: data engineer in New York, NY
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