Deep Learning Engineer (Computer Vision) (Secunderabad)

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 - Solid 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. .