AI/ML Engineer
About The Position
The AI/ML Engineer - Supply Chain & Logistics will support a Department of Defense client. The responsibilities include: Design and implement advanced machine learning models for logistics optimization, predictive analytics, and anomaly detection. Apply techniques such as reinforcement learning, neural networks, and metaheuristics to solve complex supply chain and inventory challenges. Develop real-time decision systems for dynamic pricing, resource allocation, and predictive maintenance. Lead architecture design for scalable, secure, and maintainable AI systems. Mentor engineering teams and enforce best practices in ML development and secure software engineering. Align technical roadmaps with defense AI strategies and mission-critical requirements. Explore and implement emerging AI/ML technologies to address logistics challenges in contested and uncertain environments. Conduct feasibility studies and contribute to innovation initiatives, academic collaborations, and technology evaluations.
Requirements
- An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
- Bachelor's Degree
- FIVE (5) or more years of experience in AI/ML
Nice To Haves
- Experience with DoD
- Experience with supply chain and logistics
Responsibilities
- Design and implement advanced machine learning models for logistics optimization, predictive analytics, and anomaly detection.
- Apply techniques such as reinforcement learning, neural networks, and metaheuristics to solve complex supply chain and inventory challenges.
- Develop real-time decision systems for dynamic pricing, resource allocation, and predictive maintenance.
- Lead architecture design for scalable, secure, and maintainable AI systems.
- Mentor engineering teams and enforce best practices in ML development and secure software engineering.
- Align technical roadmaps with defense AI strategies and mission-critical requirements.
- Explore and implement emerging AI/ML technologies to address logistics challenges in contested and uncertain environments.
- Conduct feasibility studies and contribute to innovation initiatives, academic collaborations, and technology evaluations.
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
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What This Job Offers
Job Type
Full-time
Career Level
Senior
