Artificial Intelligence /Cybersecurity Researcher
Description Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer. The AI Cybersecurity Researcher / Engineer will be expected to work with a small team to develop procedures in support of DHS' Vulnerability Management Branch. This role will have the opportunity to help define, scope, and implement impactful AI and cybersecurity policy at the federal agency level. Primary Responsibilities: BS degree and 12 - 15 years of prior relevant experience or Masters with 10 - 13 years of prior relevant experience. STEM related Bachelor of Science, preferably in math and / or cybersecurity. Identify on-going risks / threats to federal and non-federal information systems from AI-driven attacks Assist DHS in development of AI and cybersecurity-related policy Propose strategies and procedures to senior DHS leaders both verbally and in writing Research... and develop holistic understanding of AI policy and enforcement across the federal government Build presentations to present complex policy/regulation topics in simplified manner to senior leaders Identify trends and improvement opportunities based on AI and cybersecurity assessment results Required Qualifications: 12-15 years of prior relevant AI and Cybersecurity experience Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python. At a minimum, STEM related Bachelor of Science, preferably in math and / or cybersecurity. Working knowledge of NIST SP 800-171 and NIST SP 800-172, to include one of the following: Federal agency implementation of policy Contractor adherence to policy Assessment of adherence to policy (eg. DoD Cybersecurity Maturity Model Certification, etc.) Experience with modern development software, tools, and methodologies inclusive of: GitLab, Jira Experience with containerization using: AWS ECS, Docker Professional level writer with experience writing public or company-facing documents, or published academic work Ability to establish effective working relationships with senior-level customers, technical staff, managers, and peers Outstanding verbal and written communications skills Strong critical thinking and problem-solving skills Strong analytic and reasoning skills Ability to attain TS/SCI clearance Preferred Qualifications: Demonstrated experience with server virtualization technologies such as VMware, VirtualBox, or Hyper-V Hands-on experience with AWS Sagemaker. Any experience with penetration testing, malware analysis, network traffic analysis. Knowledge of basic concepts in statistics Original Posting Date: 2024-04-03 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $122,200.00 - $220,900.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer. The AI Cybersecurity Researcher / Engineer will be expected to work with a small team to develop procedures in support of DHS' Vulnerability Management Branch. This role will have the opportunity to help define, scope, and implement impactful AI and cybersecurity policy at the federal agency level. Primary Responsibilities: BS degree and 12 - 15 years of prior relevant experience or Masters with 10 - 13 years of prior relevant experience. STEM related Bachelor of Science, preferably in math and / or cybersecurity. Identify on-going risks / threats to federal and non-federal information systems from AI-driven attacks Assist DHS in development of AI and cybersecurity-related policy Propose strategies and procedures to senior DHS leaders both verbally and in writing Research... and develop holistic understanding of AI policy and enforcement across the federal government Build presentations to present complex policy/regulation topics in simplified manner to senior leaders Identify trends and improvement opportunities based on AI and cybersecurity assessment results Required Qualifications: 12-15 years of prior relevant AI and Cybersecurity experience Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python. At a minimum, STEM related Bachelor of Science, preferably in math and / or cybersecurity. Working knowledge of NIST SP 800-171 and NIST SP 800-172, to include one of the following: Federal agency implementation of policy Contractor adherence to policy Assessment of adherence to policy (eg. DoD Cybersecurity Maturity Model Certification, etc.) Experience with modern development software, tools, and methodologies inclusive of: GitLab, Jira Experience with containerization using: AWS ECS, Docker Professional level writer with experience writing public or company-facing documents, or published academic work Ability to establish effective working relationships with senior-level customers, technical staff, managers, and peers Outstanding verbal and written communications skills Strong critical thinking and problem-solving skills Strong analytic and reasoning skills Ability to attain TS/SCI clearance Preferred Qualifications: Demonstrated experience with server virtualization technologies such as VMware, VirtualBox, or Hyper-V Hands-on experience with AWS Sagemaker. Any experience with penetration testing, malware analysis, network traffic analysis. Knowledge of basic concepts in statistics Original Posting Date: 2024-04-03 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $122,200.00 - $220,900.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. AI Machine Learning Engineer - Remote - USA,FullStack Labs, Anywhere ,via DailyRemote,FullStack is the fastest-growing software consultancy in the Americas. We help organizations like Uber
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