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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.
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Apply latest technologies in machine learning, data mining, and predictive analytics to correlate the big datasets and events and derive dynamic cybersecurity rules. The Cyber Analyst/Data Engineer will establish and implement end-to-end proof of concept for leading edge data mining and analytics systems.
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Resilience is looking for a Data Science/Machine Learning engineer that will focus on quantifying and communicating risk and mitigation strategies. Extensive knowledge of statistics and machine learning, with a minimum of 5+ years of experience in the field.
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Certification in at least one cloud platform such as AWS (e.g., AWS Certified Solutions Architect - Associate), Microsoft Azure (e.g., Azure Administrator Associate), or Google Cloud (e.g., Associate Cloud Engineer.
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Your work requires familiarity with many security areas including governance, architecture, vulnerability management, cloud security, product security, network security, intrusion detection, dev operations, data centers, IAM, enterprise security, incident response, and other critical areas of information security.
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Work in tandem with teams including Application Security Architecture, Security Architecture, Development, Deployment, Cloud Security, Cloud & Platform Engineering, SOC & Cyber Defense Operations, Vulnerability Management, and other IT Operations Teams to identify and implement the most optimal solutions for the company and its customers.
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We are hiring an Cloud Consultant in our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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The Databricks Data Engineer will develop and maintain data modeling, database administration, develop and implement pipelines in Databricks for various environments with access from CMS AWS Government Cloud.
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Metal fabrication and welding utilizing available machine shop and welding equipment including Drill Press, Hydraulic press, as well as proficiently operate Gas Tungsten Arc, Plasma Arc, and Oxy Fuel Gas welding equipment.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Proficiency in Wonderware Systems Platform SCADA, and Data Historian (AVEVA PI). Advanced knowledge of Power BI for data visualization. Perform data analysis, modeling, and scripting using Python and Matlab to support various projects.
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Under the general direction of the Engineer the Controls Electrician is responsible for the integration, programming, and troubleshooting of Programable Logic Controllers (PLC), Process Automation Controllers (PAC), Human Machine Interfaces (HMI), Servo Systems, Robotics, and Industrial Networks for systems to support productivity and/or quality improvements for process and packaging equipment.
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Design and support Privilege Cloud Connector, Secure tunnel Client installer, PSM and CPM Hardening. Ability in CyberArk MFA/Cloud -Azure SSO Integrations. Troubleshooting Skills of Cyber-Ark on major platforms: Android, iOS, Windows, and macOS and Major browsers like Google Chrome, Microsoft Edge, and Mozilla Firefox.
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ArcheSys, a leading technology consulting firm, seeks a talented Cloud Engineer to join our growing team. Basic knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. Experience in the design and development of cloud data solutions including data lake storage, relational data, semi-structured data, streaming data, and event-driven processing.
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data engineer machine learning google cloud jobs Company: Deloitte in Baltimore, MD
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