AI/ML (Computer Vision) (Karnataka)

Job Title: Lead AI/ML (Computer Vision) Experience Required: 8 12 years total, with 6+ years in Computer Vision Location: Gurgaon, Haryana (or specify if remote/hybrid) Role Overview: We are seeking a seasoned hands-on AI/ML professional to lead initiatives in computer vision, with a solid focus on vision models, image & video processing and knowledge of low-footprint edge deployments. This role will drive innovation across industrial use cases, collaborating with cross-functional teams to deliver scalable, production-grade vision solutions. Key Responsibilities: Lead 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). Common Use Cases You may work on: 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 etc Job Title: Lead AI/ML (Computer Vision) Experience Required: 8 12 years total, with 6+ years in Computer Vision Location: Gurgaon, Haryana (or specify if remote/hybrid) Role Overview: We are seeking a seasoned hands-on AI/ML professional to lead initiatives in computer vision, with a solid focus on vision models, image & video processing and knowledge of low-footprint edge deployments. This role will drive innovation across industrial use cases, collaborating with cross-functional teams to deliver scalable, production-grade vision solutions. Key Responsibilities: Lead 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). Common Use Cases You may work on: 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 etc