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Peraton · 1 day ago

Lead Associate Artificial Intelligence / Machine Learning (AI / ML) Systems Engineer

Fort Meade, MD

Full-time

Onsite

Senior Level

$104K/yr - $166K/yr

5+ years exp

Peraton is a next-generation national security company focused on delivering trusted solutions and technologies to protect the nation. They are seeking a Lead Associate Systems Engineer with expertise in Artificial Intelligence and Machine Learning to support high performance computing and analytic systems engineering for government customers. The role involves analyzing requirements, leading design activities, and providing technical leadership in a critical national security program.

Information TechnologyRobotics

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Analyze user's requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications

Analyze system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies

Provide technical leadership for the integration of requirements, design, and technology

Incorporate new plans, designs and systems into ongoing operations

Develop technical documentation

Develop system architecture and system design documentation

Guide system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans

Interact with the government regarding systems engineering technical considerations and for associated problems, issues or conflicts

Be responsible for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility

Communicate with other program personnel, government overseers, and senior executives. Candidate must have 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

Qualification

AI/ML system designCloud ArchitectureHigh Performance ComputingData engineeringSystem securityTechnical documentationCollaboration skillsCommunication skills

Required

Position requires an active TS/SCI clearance with polygraph. Most recent polygraph must have been within the last 5 years

A High School Diploma or GED plus twelve (12) years of general systems engineering experience, OR

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

Experience with Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)

Experience with AI/ML system design and implementation. This should include: High-level understanding of the AI lifecycle (development, training, inference, monitoring), Experience with ML pipeline development, model deployment, and DevOps/MLOps

Must have understanding System security and networking (particularly the implementation of system security on classified systems)

Must have understanding of data engineering and data lifecycle management