Job Description
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Written by AI from the job title and company, not by Air Force Research Laboratory, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Air Force Research Laboratory (AFRL) is seeking a highly motivated and skilled Senior General Engineer specializing in Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity to join the RWTCC team at the DR-0801-03 level. The successful candidate will be responsible for driving innovative research and development initiatives that enhance operational capabilities through advanced technology integration. This role will involve collaborating with multidisciplinary teams to develop and implement AI/ML solutions, addressing complex cybersecurity challenges, and contributing to the overall mission effectiveness of the U.S. Air Force.
Job Responsibilities
- Lead the design, development, and evaluation of AI/ML algorithms and models for various applications.
- Identify and analyze cybersecurity vulnerabilities and implement robust solutions to safeguard sensitive information.
- Collaborate with engineers, scientists, and stakeholders to gather requirements and translate them into engineering specifications.
- Conduct feasibility studies and technical assessments to determine the viability of proposed AI/ML projects.
- Prepare and present technical reports, research findings, and recommendations to key stakeholders.
- Stay updated on industry trends, emerging technologies, and regulatory standards relevant to AI, ML, and cybersecurity.
Qualifications
- Bachelor's degree in Engineering, Computer Science, or a related field; Master's degree preferred.
- At least 7 years of experience in AI/ML and cybersecurity fields.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of cybersecurity principles, frameworks, and best practices.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Effective communication skills, both written and verbal, for technical documentation and presentations.
Technologies & Tools
The Senior General Engineer will engage with a wide array of technologies and tools, including machine learning frameworks such as TensorFlow and Keras, cybersecurity tools for threat analysis and defense, as well as programming environments suited for AI development. Familiarity with cloud computing platforms like AWS or Azure for deploying AI models will also be essential. Additionally, reliance on data analysis tools and cybersecurity monitoring systems is a crucial aspect of this position.
Ideal Candidates
The ideal candidate for this role will possess a blend of technical expertise and innovative thinking, combined with a strong commitment to mission success. They should demonstrate an ability to navigate complex problems with creativity and analytical skills. A successful applicant will be results-oriented, possess excellent communication skills, and be able to effectively collaborate within a diverse team environment. Passion for emerging technologies and an agile mindset are essential characteristics that will enable them to excel in this fast-paced and high-stakes arena.
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