Lead AI/ML (Computer Vision)

As a seasoned hands-on AI/ML professional, you will lead initiatives in computer vision with a focus on vision models, image & video processing, and knowledge of low-footprint edge deployments. Your role will involve driving innovation across industrial use cases by collaborating with cross-functional teams to deliver scalable, production-grade vision solutions. Key Responsibilities: - Lead the design and development of computer vision models, including generative architectures (e.g., GANs, diffusion models) for image and video synthesis, enhancement, and understanding. - Architect and optimize low-latency, low-footprint models for edge deployment (e.g., mobile, embedded systems, industrial sensors). - Build and scale image & video analytics pipelines for real-time and batch processing (e.g., anomaly detection, activity recognition, object tracking, permit-to-work, etc.). - Collaborate with product, engineering, and business teams to translate industrial use cases into AI/ML solutions. Required Skills & Qualifications: - 8-12 years of experience in AI/ML, with 6+ years in computer vision. - Strong hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, etc.). - Expertise in generative models, image segmentation, object detection, and video understanding. - Experience with multimodal models (vision + language) with knowledge of fine-tuning and distilling vision models. - Familiarity with MLOps, model compression, quantization, and performance tuning. - Strong problem-solving skills and ability to work in fast-paced environments. Preferred Qualifications: - Proven experience in deploying models on edge devices. - Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes). You may work on common use cases such as defect detection, permit-to-work workflows, predictive maintenance via video and image feeds, visual inspection, and training automation using live video, infrastructure inspection using drones. As a seasoned hands-on AI/ML professional, you will lead initiatives in computer vision with a focus on vision models, image & video processing, and knowledge of low-footprint edge deployments. Your role will involve driving innovation across industrial use cases by collaborating with cross-functional teams to deliver scalable, production-grade vision solutions. Key Responsibilities: - Lead the design and development of computer vision models, including generative architectures (e.g., GANs, diffusion models) for image and video synthesis, enhancement, and understanding. - Architect and optimize low-latency, low-footprint models for edge deployment (e.g., mobile, embedded systems, industrial sensors). - Build and scale image & video analytics pipelines for real-time and batch processing (e.g., anomaly detection, activity recognition, object tracking, permit-to-work, etc.). - Collaborate with product, engineering, and business teams to translate industrial use cases into AI/ML solutions. Required Skills & Qualifications: - 8-12 years of experience in AI/ML, with 6+ years in computer vision. - Strong hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, etc.). - Expertise in generative models, image segmentation, object detection, and video understanding. - Experience with multimodal models (vision + language) with knowledge of fine-tuning and distilling vision models. - Familiarity with MLOps, model compression, quantization, and performance tuning. - Strong problem-solving skills and ability to work in fast-paced environments. Preferred Qualifications: - Proven experience in deploying models on edge devices. - Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes). You may work on common use cases such as defect detection, permit-to-work workflows, predictive maintenance via video and image feeds, visual inspection, and training automation using live video, infrastructure inspection using drones.