onsite
AI Systems Engineer - PrecisionAI
Systems Engineer
AI Systems Engineer designing, building, and deploying agentic AI tools for precision agriculture, leveraging Python, ML, AWS, Docker, Kubernetes, and CI/CD pipelines to deliver scalable solutions from cloud to field drones.
About the role
Key Responsibilities
- Design and develop AI models and inference pipelines for drone-based crop monitoring and spraying.
- Build and maintain scalable, containerized services on AWS using Docker and Kubernetes.
- Implement CI/CD workflows to automate testing, deployment, and monitoring of AI workloads.
- Collaborate with hardware and field teams to integrate AI outputs into drone flight plans and operator interfaces.
- Optimize model performance and resource usage for real‑time inference on edge devices.
Requirements
- Strong experience in Python and machine learning frameworks (TensorFlow, PyTorch).
- Proficiency with AWS services (SageMaker, ECS/EKS, Lambda) and container orchestration.
- Hands‑on knowledge of CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
- Familiarity with drone SDKs and real‑time data pipelines.
- Excellent problem‑solving skills and a passion for applying AI to agriculture.
Skills
pythonmachine learningawsdockerkubernetescicd