Solutions Engineer
Core
Turn complex computer vision problems into production systems built on YOLO, leading technical discovery, designing architectures, and guiding customers from evaluation to deployed models.
Role type
Solutions Engineer (Computer Vision / AI)
Builds
Production-ready training and deployment workflows, benchmarks, integrations, and proof-of-concepts for computer vision applications.
Domain
Computer Vision / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, YOLO, OpenCV, PyTorch, model training and optimization, Docker, Linux, cloud platforms, edge deployment, technical demo delivery, architecture design
Preferred skills
Kubernetes, CUDA, TensorRT, ONNX, Jetson, MLOps, CI/CD, AWS/Azure/GCP, OpenAI/Anthropic API integration
Technologies
YOLO, OpenCV, PyTorch, Docker, Linux, Kubernetes, CUDA, TensorRT, ONNX, Jetson, AWS, Azure, GCP
Responsibilities
Own technical discovery and translate customer needs into architectures; Build Python prototypes and create production-ready workflows; Deploy solutions across cloud and edge environments; Deliver technical demos, workshops, and proof-of-concepts; Convert technical evaluations into customer wins or saves.
Seniority
Mid-Senior, hands-on IC
