onsite
Senior AI Engineer - Intelligenesis
AI Engineer
Lead the design, development, and deployment of production‑grade AI systems for mission‑critical cyber and intelligence operations, building scalable pipelines, deploying models to edge and cloud, and integrating AI into cybersecurity workflows.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines that scale from prototype to production in classified and resource‑constrained environments.
- Deploy machine‑learning models to edge devices and AWS cloud services, ensuring low latency and high reliability.
- Integrate AI capabilities into cybersecurity workflows, collaborating with cyber operators and software teams.
- Mentor junior engineers, conduct code reviews, and promote best practices in model governance and security.
- Maintain CI/CD pipelines using Docker and Kubernetes, automating model training, testing, and deployment.
Requirements
- 5+ years of experience building production AI/ML systems in high‑security domains.
- Proficiency in Python, TensorFlow/PyTorch, and cloud services (AWS).
- Strong knowledge of edge computing, containerization, and Kubernetes orchestration.
- Experience with cybersecurity tools and threat‑intelligence integration.
- Excellent communication skills and ability to work in cross‑functional teams.
Skills
pythonmachine learningawsdockerkubernetes