Deep Learning Engineer (Computer Vision)

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.