AI/ML Cloud Systems Engineer IV (TS/SCI)

Base-2 Solutions

Maryland

On-site

USD 120,000 - 170,000

Full time

5 hours ago
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Benefits offered by this job

Medical premiums
Dental premiums
Vision premiums
Disability insurance
Life insurance
401(k) plan
PTO
Floating holidays
Flexible work options

Job summary

Base-2 Solutions seeks a Systems Engineer 4 to apply systems engineering across the full life cycle, focusing on AWS, AI/ML systems, security, and data lifecycle management. The role interfaces with government stakeholders and senior executives to ensure technical integrity and quality of work products.

Responsibilities include architecture, verification, and transition activities, with emphasis on cloud and platform engineering efforts in AI-enabled environments.

Qualifications

  • Active TS/SCI with Full Scope Polygraph is required.

Responsibilities

  • Apply systems engineering principles across all life cycle phases: concept to retirement.
  • Interface with Government regarding technical considerations and issues.
  • Communicate with program personnel, government overseers, and senior executives.
  • Ensure technical integrity, quality, and completeness of deliverables across ISO/IEC 15288 areas.
  • Support process areas: requirements, architecture, verification, transition, operation, disposal.
  • Support project & enterprise process areas including planning, risk, configuration, information, and measurement.

Skills

Systems engineering
AWS cloud
AI/ML systems
Security & compliance
Data lifecycle management
Stakeholder communication

Education

High School Diploma / GED – 14 years experience
Associates Degree – 14 years experience
Bachelor's Degree – 10 years experience
Master's Degree – 8 years experience
PhD – 8 years experience

Tools

Amazon SageMaker

Job description

Base-2 Solutions seeks a Systems Engineer 4 to apply systems engineering across the full life cycle, focusing on AWS, AI/ML systems, security, and data lifecycle management. The role interfaces with government stakeholders and senior executives to ensure technical integrity and quality of work products.

Responsibilities include architecture, verification, and transition activities, with emphasis on cloud and platform engineering efforts in AI-enabled environments.

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