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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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Clearance Requirement: Public Trust clearance or higher; Public Trust clearance with Dept of Homeland Security (DHS) or Customs & Border Protection (CBP) preferred. We're looking for a senior Information Assurance Specialist to assist our customer in overseeing and supporting Information Security Control Assessments, Intrusion Defense Chain FISMA Metrics Tracking, and a Industry Cyber Hygiene Data Assessment Program.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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This role will have opportunity to work across Amgens pipeline (early and late) to oversee the development of data review visualization tool, statistical/machine learning algorithms, and analytic pipeline/package/application in R. It provides opportunity to develop leadership skills in clinical development strategy and address scientific questions through practical quantitative thinking.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. Build end-to-end machine learning workflow, from data pipeline, modeling, tuning, evaluation, to continuous improvement, etc.
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We are seeking a highly skilled and motivated Senior Applied Machine Learning Engineer for our Federal Delivery team who is passionate about delivering value to US Federal Government clients with Generative AI. If you have experience harnessing data to deliver mission impact at enterprise scale, enjoy working with alongside product teams to iteratively improve capabilities, and thrive in client-facing technical environments, we would love to hear from you.
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Ii) develop of machine learning and computational discovery methods for public health research. Performing data management (auditing, editing & analysis) and quality control of study databases.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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The candidate’s written consent to conduct a background check to obtain a "Q" security clearance is required as a condition of employment. Located in Germantown, MD Project Enhancement Corporation (PEC) is a technical services business focused onproviding Project Management and specialized consulting services in the areas of nuclear safety, worker safety and health,emergency management, incident response, quality assurance, environment as well as materials andfacilities disposition within the DOE/NNSA and commercial power industry.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with privileged and elevated access with cybersecurity tools such as ForeScout, Palo Alto Firewalls, Splunk and Cribl, or DoD Endpoint Security Solution (ESS) formerly (HBSS.
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This is an "on-site" position supporting the National Nuclear Security Administration (NNSA) Office ofNuclear Incident Response (N84) in the execution of the Policy and Plans program. May be substituted by a Bachelor of Science degree with 4+ years of demonstrated experience in emergency management, crisis response, national security policy, public policy, or international relations.
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Security Clearance Level: Top Secret/SCI, SAP Information eligible, consent for Counterintelligence polygraph. Toolkits, SEIMs, Logrhythm, ACAS/Nessus/SCAP, mandatory/role-based access control concepts (e.g. SE Linux extensions to RHEL, PitBull, AppArmor, and Sentris), video teleconferencing/VOIP, Oracle/MS SQL database security, and Apache/IIS Web server security.
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Proficient in Databricks unified data analytics platform, and able to use its collaborative notebooks, integrated APIs, and optimized clusters for data engineering and machine learning.
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Understanding and ability to implement Robotic Process Automation (RPA) and Machine Learning (ML) solutions to advance capabilities in Artificial Intelligence (AI) Cloud Certifications from Microsoft or AWS (Architect/Engineer/DevOps/Security.
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machine learning security clearance data quality jobs in Washington, Sherwood, Oregon
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