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AI Engineer for Computer Vision Systems
beBeeEngineerThane, India1 day ago
Job descriptionExperience with PyTorch, YOLOv8 / 11, SAM / SAM2, SigLIP / CLIP, MiDaS / ZoeDepth, ONNX Runtime (CUDA EP), TensorRT (nice), FastAPI, Node / Express, Redis, ClickHouse, Docker, GitHub Actions. Familiarity with cloud computing platforms such as AWS or GCP. Opportunity to work on cutting-edge AI projects. Collaborative and dynamic work environment. Professional growth and development opportunities. We provide GPU access (cloud, H100 / A10 / T4), seed datasets & taxonomy draft, staging infra, and rapid product feedback. Clear API contract and benchmark packs for CI gating.
Job Overview
We are looking for a skilled AI engineer to develop and deploy computer vision systems. The ideal candidate will have experience with PyTorch, YOLOv8 / 11, SAM / SAM2, SigLIP / CLIP, MiDaS / ZoeDepth, ONNX Runtime (CUDA EP), TensorRT (nice), FastAPI, Node / Express, Redis, ClickHouse, Docker, GitHub Actions.
This role involves standing up GPU FastAPI / infer-v2 + Node / api / coach / photo, returning stubbed payload matching contract; basic telemetry; dockerized. The demo should be able to curl upload → JSON schema exactly matches app contract.
Key Responsibilities
- Develop and deploy computer vision systems using PyTorch, YOLOv8 / 11, SAM / SAM2, SigLIP / CLIP, MiDaS / ZoeDepth, ONNX Runtime (CUDA EP), TensorRT (nice), FastAPI, Node / Express, Redis, ClickHouse, Docker, GitHub Actions.
- Stand up GPU FastAPI / infer-v2 + Node / api / coach / photo, return stubbed payload matching contract; basic telemetry; dockerized.
- Demo : curl upload → JSON schema exactly matches app contract.
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Computer Vision Engineer • Thane, India
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