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AI/ML & Autonomous Systems Engineering

Active

Federal

Response Deadline10/28/2026, 08:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The AI/ML and Autonomous Systems Engineering subcontract for the Department of Defense, specifically supporting NSWC Dahlgren, focuses on the engineering of asymmetric machine learning architectures. The scope of work involves developing data-driven validation frameworks to quantify system performance, sourcing data repositories, and utilizing high-computing cloud services and ML modeling tools to generate simulated data. Key deliverables include the final ML architectures, validation frameworks, and detailed performance benchmarking reports. This opportunity requires personnel to hold Secret/TS/SCI security clearances to perform the work. The project falls under NAICS code 541715 and is associated with a response deadline of October 28, 2026. Performance of the contract is centered in the 22448 zip code area.

General Info

DoD subcontract for asymmetric ML architectures and validation frameworks requiring Secret/TS/SCI clearances.

Agency

Department Of Defense → Nswc Dahlgren

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

VA, 22448

Set-Aside

NONE

Documents

This scope was carved out of N0017827R3106.

The full solicitation package (5 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Engineering Support for the Asymmetric Systems

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Timeline

PostedOct 21

subcontract

Response DeadlineOct 28

Submission deadline

Response Deadline

10/28/2026, 08:00:00 PM UTCin 7 days

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Organization & Contact Information

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AgencyDepartment Of Defense → Nswc Dahlgren

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Defense → Nswc Dahlgren

Office AddressN/A

ContactsNo contact information available

Full Description

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Engineers asymmetric machine learning architectures for prime contractors on NSWCDD projects. Develops data-driven validation frameworks to quantify system performance, sources data repositories, and generates simulated data using high-computing cloud services and ML modeling tools. Requires Secret/TS/SCI clearance. Delivers ML architectures, validation frameworks, and performance benchmarking reports.

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