V
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
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free