What are the responsibilities and job description for the Systems Engineer 3 (AWF - 046) position at SageCor Solutions?
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:
requirements and inform system architecture decisions
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
- High-level understanding of the AI lifecycle (development, training,
- Experience with ML pipeline development, model deployment, and
- Experience with Amazon SafeMaker is a plus
- Excellent communication and collaboration skills with a variety of stakeholder
requirements and inform system architecture decisions
- System security and networking (particularly the implementation of system
- Data engineering and data lifecycle management