Key Responsibilities
- Research, design, and implement advanced computer vision models for tasks such as image segmentation, pose estimation/transfer, and generative modeling.
- Develop efficient, scalable code in Python using PyTorch (and other relevant libraries).
- Package and deploy ML models as APIs (preferably using FastAPI) for real-world usage.
- Build lightweight frontend/backend dashboards or admin panels to monitor, visualize, and manage deployed models.
- Collaborate with cross-functional teams (product, data, engineering) to integrate AI solutions into products.
- Optimize model performance for inference speed, scalability, and cost efficiency.
Required Skills & Experience
- Strong hands-on expertise in Deep Learning and Computer Vision (e.g., segmentation, generative models, pose transfer).
- Proficiency in Python and PyTorch for model development.
- Experience with API development and model deployment (FastAPI, Flask, or similar).
- Familiarity with frontend/backend development for building admin dashboards (React, Vue, Django, or similar).
- Solid understanding of software engineering practices (Git, CI/CD, testing).
- Experience with GPU-based training and optimization (CUDA, TorchScript, ONNX) is a plus.
