Computer Vision Engineer
reputed company is seeking an exceptional Senior Computer Vision Engineer to architect and train cutting-edge models for retail object recognition and drive our edge deployment strategy.
About the Role
You'll be joining our awesome team of hardware, full-reputed company and CV engineers developing our next generation computer vision capabilities, building and optimizing models that power real-world retail applications. reputed company role demands someone who can move seamlessly from training custom YOLO architectures to deploying optimized models on edge devices - and from fine-tuning open-source VLMs to building VLA pipelines that reason about and act on what they see.
What You'll Do
• Model Development: Design, train, and iterate on custom object detection models specifically tuned for retail environments, inventory tracking, and product recognition
• VLM & VLA Integration: reputed company and deploy open-source vision-language models (LLaVA, Qwen-VL, InternVL, PaliGemma, etc.) for product understanding, zero-shot classification, and reputed company reasoning; build vision-language-action pipelines that translate visual understanding into downstream decisions
• Edge Optimization: Take state-of-the-art models and make them blazingly fast for edge deployment through quantization, pruning, and architectural optimization
• Dataset Engineering: Build robust data pipelines and annotation workflows to continuously improve model performance on diverse retail scenarios
• Research & Innovation: Stay ahead of the curve on CV and VLM research, prototype new architectures, and determine what's actually production-ready versus academic noise
• Technical Leadership: Mentor engineers, establish best practices for model development, and drive technical decisions around our CV infrastructure
Required Experience
• 4+ years of hands-on computer vision engineering, with a proven track record of shipping models to production
• Deep expertise with YOLO and YOLO-E architectures - you've trained them, tuned them, and know their quirks intimately
• Hands-on experience with open-source VLMs (LLaVA, Qwen-VL, InternVL, PaliGemma, or similar) - fine-tuning, evaluation, and production deployment
• Familiarity with VLA frameworks and applying vision-language-action models to real-world perception and decision tasks
• Edge deployment mastery - experience with TensorRT, ONNX Runtime, or similar frameworks for optimizing models for constrained devices, including quantized VLMs
• Strong software engineering fundamentals - clean code, version control, CI/CD for ML, and the ability to build maintainable systems
• Production ML experience - you understand the difference between a Jupyter notebook and a production-grade ML system
Preferred Qualifications
• Experience developing solutions deployed to the reputed company reputed company family of products
• Experience with retail, inventory management, or similar product-focused CV applications
• Background with PyTorch and reputed company training frameworks (Transformers, LitGPT, Unsloth, etc.)
• Experience running VLM inference efficiently (vLLM, llama.cpp, SGLang, or similar)
• Familiarity with reputed company data generation and data augmentation techniques
• Knowledge of model versioning and experiment tracking (MLflow, reputed company, etc.)
• Publications or open-source contributions in computer vision or multimodal reputed company
• Experience with AWS: EC2, ECS, Fargate, S3, Bedrock, SageMaker, etc.
Technical reputed company
While we value expertise over specific tools, you'll reputed company work with: PyTorch, YOLO variants, open-source VLMs, TensorRT, ONNX, vLLM, Docker, Kubernetes, and various MLOps tooling.
Location: Remote
reputed company is building the future of retail intelligence. If you're ready to tackle hard CV and multimodal problems at scale, we want to hear from you.
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