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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or other relevant technical discipline.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Master's degree in Computer Science, Data Science, Machine Learning, or a related field with a strong focus on Artificial Intelligence. Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models.
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Computer Aided Drafting/Design (AUTOCAD, REVIT, Rhino, Grasshopper) M.S. in Architectural Engineering or Architecture in Building Science/Building Enclosures/ Historic Preservation. You'll develop a strong background in building façade and roofing assemblies, understanding of building science and thermal analysis concepts as well as a knowledge of modeling building performance and sustainability.
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Computer engineering, computer science, information technology, javascript, malware, matlab, optical, schematic. + Lead off-site and/or on-site technical support to Construction personnel.
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Lead preparation of EIRs/EAs/EISs and associated management plans in compliance with CEQA and NEPA. Contribute to preparing impact assessment deliverables, serving in roles ranging from lead technical expert to quality review.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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Bachelor's degree in Natural Resource Management, Wildlife Ecology, Environmental Science, Biology, Rangeland Ecology, or similar ecological field required. In addition to technical skills and staff mentorship, the preferred candidate would also assist with business development (i.e., doer-seller) and growing our ecology program and client base in Houston.
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Our Engineering Technical Lead role for water and wastewater treatment plant engineering combines the elements of a technical design lead and a quality assurance leader, with a focus on technical training and development of staff.
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Bilingual Lead Clinicians will assist in the supervision of Clinicians in their duties for the clinical program and will ensure that the Clinical Counselor team is in compliance with the Office of Refugee Resettlement (ORR) and Department of Health & Human Services (HHS) regulations and guidelines.
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This policy affects all employees, residents, fellows, students, contractors, new hires, visiting scholars program participants, adjunct faculty, and volunteers who work, train, or collaborate at the John S. Dunn Behavioral Science Center.
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Bachelor’s degree program in a technical field such as Computer science, Management Information Technology (MIS), Engineering, and Mathematics is strongly preferred. Digital Media Analysis (DMA) and prior computer forensics experience strongly desired, but not required.
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machine learning technical lead computer science jobs Company: Jpmorgan Chase Co in Houston, TX
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