on algorithms, deep learning frameworks, model optimization, and enterprise AI deployments.
The candidate will be responsible for designing, developing, and deploying state-of-the-art computer vision and multi-modal AI solutions for complex business and industrial use cases. The role includes building and optimizing models for object detection, image segmentation, image classification, OCR, scene understanding, image captioning, and visual reasoning applications.
Professionals should have strong hands-on experience with PyTorch, TensorFlow, OpenCV, HuggingFace, Detectron2, and modern Visual Language Models such as CLIP, BLIP, Flamingo, and GPT-4V. Expertise in training, fine-tuning, serving, and optimizing large-scale AI models for production environments is highly preferred.
The role also involves implementing model serving architectures, improving inference performance, enabling hardware acceleration, supporting MLOps practices, and collaborating with AI researchers, data scientists, and engineering teams to deliver enterprise-grade AI solutions. Candidates should possess strong analytical thinking, innovation, communication, and problem-solving skills.
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