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As an EY IT Senior Analyst, you will engage in discussions on the development of innovative software applications including areas such as software architecture design, Artificial Intelligence (AI) and Machine Learning (ML), cybersecurity, Blockchain and Distributed Systems, telecommunication, cloud computing and virtualization, data science and big data, and other high-tech fields with a host of industry leaders.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Demonstrated work experience with Cloud: Distributed Scalable Big Data Store (NoSQL) such as CloudBase/Accumulo, Big Table; MapReduce and technologies such as Hadoop, Pig, HDFS; Serialization such as JSON or BSON.
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Key Words: ( Building Automation, BAS, DDC, BAC, Direct Digital Controls, MRI, LON, LonWorks, BACnet, MODbus, Johnson Controls, Delta Controls, Honeywell, Tridium, Alerton, Building Automation Technician, Building Automation Service, Building Automation Engineer, Siemens, Carrier, Trane, York, ME, Mechanical Engineering, HVAC, HVAC Controls.
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The ideal candidate will have expertise in Python, bash scripting, ELK, API calls, Ghostmachine, Splunk, Linux, and Nifi. As a Data Scientist, you must have a strong understanding of statistical modeling, machine learning, and data visualization techniques.
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Develop/Maintain and Deliver assigned courses within the IT Cyber Security Security Control Learning Series Develop and review educational/training materials and job aids which support the Security Control Program (IT SCP) Provide functional and technical support for the GRC platform.
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Responsibilities include but are not limited to the following:Representing MDOT MAA at various business conferences, trade fairs, and other outreach events; Assisting in the preparation of various Data Compliance Reports and monitoring contractor payments in MDOT MAA’s compliance management system on all contracts.
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Our Senior Engineer is a key member of the engineering staff working on Mobile/Web solutions ensuring that we provide a friction-less experience to our customers and maintain the highest standards of protection and availability.
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The Senior Network Engineer is responsible for architecting, deploying, configuring and maintaining high-end switching, routing, IP Telephony, wireless, security, network management and access control devices supporting the hospital’s infrastructure.
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We specifically recruit for and support mission critical power, electrical power, renewable energy, utility, electric and smart grid development, data center growth, digital and electrical infrastructure, construction, and the electric vehicle (EV) markets.
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Cloud Engineer, Senior. Microsoft Azure Administrator Associate Certification. 3+ years of experience with Infrastructure as Code (IaC) concepts and deploying infrastructure automation, including CloudFormation, Azure Resource Manager, and Terraform.
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Provide expertise across multiple disciplines and technologies, developing data management policies, procedures and strategies in a highly technical (Big Data) environment. The current vacancy exists at MDOT MVA, Office of Data Management, which is located in Glen Burnie, MD. (Anne Arundel County.
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Data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
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Operate NOAA's specialized aircraft, manage research and survey vessels, and support data collection missions, including fisheries surveys, atmospheric sampling, and coastal mapping. Participate in collecting and analyzing environmental data across various NOAA missions.
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In this dynamic role, you'll design, develop, and sustain data pipelines that power machine-learning models and large-scale inferencing in a cutting-edge Kubernetes environment. Design and Development: Create, test, and deploy complex software systems, focusing on data pipelines for machine learning in a Kubernetes environment.
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machine learning engineer big data jobs Company: Tiktok in Annapolis, MD
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