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AI/ML Systems Engineer
Position Overview:
Red Arch Solutions is hiring a Systems Engineer to join a priority program in Annapolis Junction, Maryland. The ideal candidate will have high-level knowledge of the AI lifecycle and general experience with ML pipeline development, model deployment, and DevOps/MLOps.
Position Description:
Requirements:
Red Arch Solutions is hiring a Systems Engineer to join a priority program in Annapolis Junction, Maryland. The ideal candidate will have high-level knowledge of the AI lifecycle and general experience with ML pipeline development, model deployment, and DevOps/MLOps.
Position Description:
- Analyzes user’s requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications.
- Analyzes system requirements and leads design and development activities.
- Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies.
- Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations.
- Develops technical documentation.
- Develops system Architecture and system design documentation.
- Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans.
- Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts.
- Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility.
- Communicates with other program personnel, government overseers, and senior executives.
Requirements:
- Active TS/SCI with Polygraph
- 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.
- 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 SageMaker is a plus (not required)
- 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
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