Senior Computer Vision Engineer (AI)

TL;DR

Senior Computer Vision Engineer (AI): Architecting and training advanced models for retail object recognition and edge deployment with an accent on YOLO architectures and vision-language models. Focus on building vision-language-action pipelines, optimizing models for edge devices, and driving technical decisions for production-grade ML infrastructure.

Location: Remote

Company

hirify.global is building the future of retail intelligence through advanced computer vision and multimodal AI solutions.

What you will do

• Design, train, and iterate on custom object detection models for retail inventory tracking.
• Fine-tune and deploy open-source vision-language models for scene reasoning and zero-shot classification.
• Build vision-language-action pipelines to translate visual data into actionable decisions.
• Optimize models for edge deployment using quantization, pruning, and architectural improvements.
• Develop robust data pipelines and annotation workflows to improve model performance.
• Mentor engineers and establish best practices for model development and CV infrastructure.

Requirements

• 4+ years of hands-on computer vision engineering experience with a track record of shipping to production.
• Deep expertise with YOLO and YOLO-E architectures.
• Hands-on experience fine-tuning and deploying open-source VLMs like LLaVA or Qwen-VL.
• Mastery of edge deployment frameworks such as TensorRT or ONNX Runtime.
• Strong software engineering fundamentals including CI/CD for ML and version control.
• Proven ability to build maintainable, production-grade ML systems.

Nice to have

• Experience with NVIDIA Jetson products.
• Background in retail or inventory management CV applications.
• Proficiency with PyTorch and modern training frameworks like Transformers or Unsloth.
• Experience with efficient VLM inference tools like vLLM or llama.cpp.
• Knowledge of synthetic data generation and experiment tracking tools like Weights & Biases.