Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field. 5+ years of experience in AI/ML engineering with a focus on computer vision. Proven track record with deep learning frameworks (PyTorch, TensorFlow). Expertise in CNNs, transformers, diffusion models, and modern vision architectures. Strong programming skills in Python (and C++). Experience with deploying ML models to production (e.g., TensorRT, ONNX, OpenVINO, TorchScript). Solid understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Strong math background in linear algebra, probability, optimization, and statistics. Experience with multimodal AI (LLMs, VLMs, CLIP, SAM, etc.). Knowledge of edge AI deployment and real-time inference optimization.