AI/ML Engineer SME
Role details
Job location
Tech stack
Requirements
Clearance Requirements: Active TS/SCI Clearance; the customer will sponsor a Full Scope Polygraph is candidate does not possess one already Description: Signature Federal Systems is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security. A perfect candidate would be both very familiar with AI/ML AND have experience with CNO development. This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, and contribute to the development of solutions that address critical problems in the Space domain. The successful candidate will have advanced experience with and/or knowledge of: AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science. Basic Qualifications:
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Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent combination of education, training, and experience in a related technical field.
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Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing
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Experience with modern software development tools and practices
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TS/SCI clearance required to start Desired Skills:
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Advanced degree in a STEM discipline
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Proficiency in one or more of the following programming languages: Python, Java, C++, C#, or MATLAB
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Experience with TensorFlow, PyTorch, Keras, or Scikit-learn
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Experience with RF, SAR or EO image processing algorithms/techniques
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Experience with AWS or another cloud computing platform
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Excellent written and verbal communication skills
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Ability to work in a collaborative and team-based environment AI/ML Engineer SME Location: Choice of Herndon, VA or Arlington, VA Clearance Requirements: Active TS/SCI Clearance; the customer will sponsor a Full Scope Polygraph is candidate does not possess one already Description: Signature Federal Systems is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security. A perfect candidate would be both very familiar with AI/ML AND have experience with CNO development. This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, and contribute to the development of solutions that address critical problems in the Space domain. The successful candidate will have advanced experience with and/or knowledge of: AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science. Basic Qualifications:
-
Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent combination of education, training, and experience in a related technical field.
-
Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing
-
Experience with modern software development tools and practices
-
TS/SCI clearance required to start Desired Skills:
-
Advanced degree in a STEM discipline
-
Proficiency in one or more of the following programming languages: Python, Java, C++, C#, or MATLAB
-
Experience with TensorFlow, PyTorch, Keras, or Scikit-learn
-
Experience with RF, SAR or EO image processing algorithms/techniques
-
Experience with AWS or another cloud computing platform
-
Excellent written and verbal communication skills
-
Ability to work in a collaborative and team-based environment