AI Engineer Computer Vision & MLOps
Core
Own the data, training, evaluation, and MLOps lifecycle for camera-based perception models, turning real and synthetic drone data into reproducible, validated model releases.
Role type
Senior IC computer vision and MLOps engineer
Builds
Production-ready perception models for drone systems
Domain
Defense / Aerial robotics / Computer Vision
Deliverable
production ML models
Required skills
CNN and transformer architectures, PyTorch, dataset versioning and lineage, model evaluation and failure analysis, MLOps pipelines, ONNX and TensorRT optimization, software engineering
Preferred skills
Aerial vision and small-object detection, synthetic data workflows (NVIDIA Isaac Sim, Omniverse), inference optimization on NVIDIA Jetson
Technologies
PyTorch, ONNX, TensorRT, NVIDIA Jetson, NVIDIA Isaac Sim, Omniverse
Responsibilities
Define requirements and release standards for detection, segmentation, and depth tasks; drive real-world and synthetic data collection campaigns; build trusted, versioned datasets; develop and benchmark detection and depth-estimation models; set evaluation bars across environmental conditions; build and operate end-to-end MLOps pipelines; export and optimize models for production.
Seniority
Senior, hands-on IC
