Systems Engineer 3 (AWF - 046)

SageCor Solutions•Annapolis Junction, MD

50d

About The Position

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies. Active TS/SCI w/ Polygraph required. Required Experience: A High School Diploma or GED plus twelve (12) years of general system engineering experience. OR A Bachelor’s degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus seven (7) years of systems engineering experience. OR A Master’s degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus five (5) years of systems engineering experience. OR A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus three (3) years of systems engineering experience. Position Details: - Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS) - AI/ML system design and implementation o High-level understanding of the AI lifecycle (development, training, inference, monitoring) o Experience with ML pipeline development, model deployment, and DevOps/MLOps o Experience with Amazon SafeMaker is a plus - Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions - System security and networking (particularly the implementation of system security on classified systems) - Data engineering and data lifecycle management Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

Requirements

Active TS/SCI w/ Polygraph required.
A High School Diploma or GED plus twelve (12) years of general system engineering experience.
A Bachelor’s degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus seven (7) years of systems engineering experience.
A Master’s degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus five (5) years of systems engineering experience.
A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus three (3) years of systems engineering experience.
Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
AI/ML system design and implementation
High-level understanding of the AI lifecycle (development, training, inference, monitoring)
Experience with ML pipeline development, model deployment, and DevOps/MLOps
Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions
System security and networking (particularly the implementation of system security on classified systems)
Data engineering and data lifecycle management