System Engineer - 3 (AI/ML, AWS)

AkinaAnnapolis Junction, MD
4h$150,000 - $190,000

About The Position

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. Position Details: Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS) 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 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

Requirements

  • TS/SCI - Polygraph required
  • Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
  • 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
  • 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
  • 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.

Nice To Haves

  • Experience with Amazon SageMaker is a plus

Responsibilities

  • 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.

Benefits

  • 24 days PTO accrued annually and 11 federal holidays
  • Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary.
  • Akina covers 100% of healthcare costs for employees and 50% toward dependents.
  • We offer educational assistance towards college classes and will cover costs associated with job related training and certifications
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service