SOLICITATION NOTICE
U -- Artificial Intelligence / Machine Learning (AI/ML) Academic Project and Curriculum Technical Support
- Notice Date
- 4/18/2022 10:24:16 AM
- Notice Type
- Solicitation
- NAICS
- 611710
— Educational Support Services
- Contracting Office
- CG ACADEMY(00039) GROTON CT 06340 USA
- ZIP Code
- 06340
- Solicitation Number
- 70Z03922-Q-CGA0000707
- Response Due
- 5/2/2022 5:00:00 AM
- Archive Date
- 05/02/2022
- Point of Contact
- Noel M. Filipinas, Phone: 8604448378, David Palacios, Phone: 8604448245
- E-Mail Address
-
noel.m.filipinas@uscg.mil, david.f.palacios@uscg.mil
(noel.m.filipinas@uscg.mil, david.f.palacios@uscg.mil)
- Description
- This Solicitation is unrestricted & award will be based on Firm-Fixed-Price with rating factors. The Coast Guard Academy has an academic need for contracted technical support with both Advisory and Assistance Services in support of faculty and students in the completion of a Capstone project and Directed Study course. CGA is seeking a level of support between 16-32 hours per week. The A&AS will provide services in-person, onboard the CGA campus and in accordance with a schedule agreed upon with the Contracting Officer�s Representative (COR). The A&AU�s responsibilities will commence no later than 15 August and conclude on completion of the project (not to exceed 12 months after the start date). A&AS onsite responsibilities will include: A weekly meeting with faculty to provide technical support to ongoing academic project and coursework focused on AI/ML (which may include refining course content, providing expert feedback on content or initiatives, and/or providing technical support to build out necessary infrastructure to support ongoing AI/ML work). Technical support to students and faculty of AI/ML academic efforts which could include: The identification of IT equipment that will meet desired requirements; assistance in setting up IT equipment to support a specific AI/ML use-case; Identifying relevant software and associated technical training to support ongoing AI/ML efforts. Conduct research on necessary technical topics to support ongoing AI/ML work. In rendering the foregoing services, outputs may take the form of information, advice, opinions, alternatives, analyses, evaluations, recommendations, training and/or services to complement the USCGA technical expertise in accomplishing its mission. The Government will award a contract resulting from this solicitation to the responsible offeror whose offer conforming to the solicitation will be most advantageous to the Government on the basis of ""Best Value Evaluation"" with the following technical evaluation factors which will be weighted equal to and or greater than price. QUESTIONS.� Interested offerors must submit any questions concerning the solicitation at the earliest time possible to enable the Buyer to respond. Technical questions maybe address to CDR M. Steinhaus email:� Meghan.k.steinhaus@uscga.edu | Ph: (860) 701-6932. RFQ package questions must be submitted via email to david.f.palacios@uscg.mil | Ph: (860) 444-8245. ***Questions not received within a reasonable time prior to close of the solicitation may not be considered***
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/7014b53a8eb44e0b88a06447a29d32f2/view)
- Place of Performance
- Address: New London, CT 06320, USA
- Zip Code: 06320
- Country: USA
- Zip Code: 06320
- Record
- SN06300601-F 20220420/220418230054 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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