Posted today
Intel Agency (NSA, CIA, FBI, etc)
Mid Level Career (5+ yrs experience)
$175,000 - $275,000
No Traveling
Full Scope Polygraph
Engineering - Systems
McLean, VA (On-Site/Office)
Data Scientist - TS/SCI w/ FS Poly required
McLean location
Org is NEMC
The Sponsor requires subject matter expertise to develop a tool to enhance their signature management capabilities and to integrate the Sponsor’s diverse data holdings and to leverage novel AI/ML solutions to support the Sponsor’s operational requirements. The ML Engineer will expand the Sponsor’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI). The ML Engineer will bridge research output to operational teams by packing models as reliable service. The ML Engineer will create operator-focused dashboards. The ML Engineer will deliver a stable, low-cost productions platform that enables rapid, tailored outreach. The ML Engineer will provide weekly highlights summarizing work progress as required by the Sponsor. The ML Engineer will provide briefings, to include presentation slides and user guide documentation, as required by the Sponsor.
Skills:
1. Required: Demonstrated experience in cloud compute environments.
2. Required: Demonstrated experience in containerization concepts.
3. Required: Demonstrated experience in Machine Learning Operations (MLOps).
4. Required: Demonstrated expertise in software engineering, cloud architecture and UI design.
5. Required: Demonstrated experience supporting big data environments.
6. Required: Demonstrated ability to effectively communicate (verbal and written) with technical and non-technical personnel as well as all levels of management and staff.
7. Desired: Demonstrated experience with proficiency in Python and SQL.
8. Desired: Demonstrated experience with Docker.
9. Desired: Demonstrated experience with Flask, Gradio, or Streamlit.
10. Other: Expands the Sponsor’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI).
11. Other: Bridges research output to operational teams by packing models as reliable service.
12. Other: Creates operator-focused dashboards.
13. Other: Delivers stable, low-cost productions platforms that enables rapid, tailored outreach.
14. Other: Provides weekly highlights summarizing work progress as required by the Sponsor.
15. Other: Provides briefings, to include presentation slides and user guide documentation, as required by the Sponsor.
McLean location
Org is NEMC
The Sponsor requires subject matter expertise to develop a tool to enhance their signature management capabilities and to integrate the Sponsor’s diverse data holdings and to leverage novel AI/ML solutions to support the Sponsor’s operational requirements. The ML Engineer will expand the Sponsor’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI). The ML Engineer will bridge research output to operational teams by packing models as reliable service. The ML Engineer will create operator-focused dashboards. The ML Engineer will deliver a stable, low-cost productions platform that enables rapid, tailored outreach. The ML Engineer will provide weekly highlights summarizing work progress as required by the Sponsor. The ML Engineer will provide briefings, to include presentation slides and user guide documentation, as required by the Sponsor.
Skills:
1. Required: Demonstrated experience in cloud compute environments.
2. Required: Demonstrated experience in containerization concepts.
3. Required: Demonstrated experience in Machine Learning Operations (MLOps).
4. Required: Demonstrated expertise in software engineering, cloud architecture and UI design.
5. Required: Demonstrated experience supporting big data environments.
6. Required: Demonstrated ability to effectively communicate (verbal and written) with technical and non-technical personnel as well as all levels of management and staff.
7. Desired: Demonstrated experience with proficiency in Python and SQL.
8. Desired: Demonstrated experience with Docker.
9. Desired: Demonstrated experience with Flask, Gradio, or Streamlit.
10. Other: Expands the Sponsor’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI).
11. Other: Bridges research output to operational teams by packing models as reliable service.
12. Other: Creates operator-focused dashboards.
13. Other: Delivers stable, low-cost productions platforms that enables rapid, tailored outreach.
14. Other: Provides weekly highlights summarizing work progress as required by the Sponsor.
15. Other: Provides briefings, to include presentation slides and user guide documentation, as required by the Sponsor.
group id: 10506397
