onsite
AI Systems Engineer - KBR
Systems Engineer
Lead the design, deployment, and optimization of AI-driven solutions for national security, leveraging Python, ML frameworks, and cloud-native tools like AWS, Docker, and Kubernetes to deliver scalable, secure systems.
About the role
Key Responsibilities
- Architect and develop end‑to‑end AI pipelines, from data ingestion to model inference, using Python and ML libraries.
- Deploy and maintain ML models on AWS, ensuring high availability, scalability, and compliance with security standards.
- Containerize services with Docker and orchestrate with Kubernetes for efficient resource utilization.
- Implement CI/CD workflows to automate testing, validation, and deployment of AI components.
- Collaborate with cross‑functional teams to translate mission requirements into technical specifications and deliverables.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong background in Python.
- Proficiency in AWS services (SageMaker, ECS, EKS, Lambda) and container orchestration.
- Hands‑on experience with Docker, Kubernetes, and CI/CD pipelines.
- Solid understanding of data engineering principles and secure software development practices.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawsdockerkubernetes