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AI System Engineer Level 4 Jobs

vetegrity

Columbia · On-site Full-time 3w ago

About the role

About Vetegrity

Vetegrity is an employee-focused small business, founded in 2008. We are passionate about supporting the missions of the Intelligence Community and the Department of Defense. As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to excellence and integrity in everything we do.

Responsibilities

  • Applies systems engineering principles throughout the systems life cycle phases: Concept, Development, Production, Utilization, Support, and Retirement.
  • Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts.
  • Communicates with other program personnel, government overseers, and senior executives.
  • Responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 process areas defined by ISO/IEC15288.

Requirements

  • A High School Diploma or GED plus fourteen (14) 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 ten (10) 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 eight (8) years of systems engineering experience.
  • OR
  • A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus eight (8) years of systems engineering experience.

Desired Skills

  • 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
  • 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

Benefits

  • Medical/Dental/Vision
  • 20 Days of Paid Time Off (PTO) + Federal Holidays
  • 401k with Employer Match
  • Profit Sharing
  • Tuition Reimbursement
  • Flex Spending Account
  • Life Insurance, Long & Short-Term Disability
  • Pet Adoption Reimbursement
  • Annual Physical Fitness/Wellness Allowance
  • Supplemental Insurance
  • Employee Referral Program
  • Performance Incentives
  • On-The-Spot Rewards

Other company-sponsored perks include after-hours events, logo apparel, holiday parties, and more!

Skills

AWSDevOpsMLOpsAmazon SageMakerAI/ML system designCloud ArchitectureCloud EngineerData engineeringPlatform EngineeringSystem securitySystems engineering

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