SageCor Solutions · 1 month ago
Systems Engineer 3 (AWF - 046)
SageCor Solutions is a growing company providing complete engineering services and full lifecycle System Engineering services, primarily in high performance computing and large data analytics. They are seeking a Systems Engineer 3 to engage in cloud architecture, AI/ML system design, and data engineering, while ensuring system security and collaborating with various stakeholders.
HardwareInformation TechnologySoftware
Responsibilities
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
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
Qualification
Required
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
Preferred
Experience with Amazon SafeMaker is a plus