Computer Vision Engineer

hace 3 días

México Panoptyc A tiempo completo

**Senior Computer Vision Engineer**:
**Panoptyc** 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**:
**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
- ** 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 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
- ** LLM Integration**: Explore and implement multimodal approaches combining vision and language models for enhanced product understanding and classification

**Required Experience**:

- ** 5+ 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
- ** Edge deployment mastery** - experience with TensorRT, ONNX Runtime, or similar frameworks for optimizing models for constrained devices
- ** LLM and LLMOps experience** - practical knowledge of large language models, fine-tuning, prompt engineering, and building reliable LLM-powered systems
- ** 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**:

- Background with PyTorch and modern training frameworks
- Familiarity with synthetic data generation and data augmentation techniques
- Knowledge of model versioning, experiment tracking (MLflow, Weights & Biases, etc.)
- Publications or open-source contributions in computer vision
- Experience with AWS solutions like EC2, ECS, Fargate, S3, Bedrock, Sagemaker etc..

**Technical Stack**:
While we value expertise over specific tools, you’ll likely work with: PyTorch, YOLO variants, TensorRT, ONNX, Docker, Kubernetes, and various MLOps tooling.

**Location**: Remote

**Compensation**: up to $60/hr USD (based on location)

Panoptyc is building the future of retail intelligence. If you’re ready to tackle hard CV problems at scale, we want to hear from you.

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