Computer Vision Lead Engineer - Technical

About ImageVision.AI : ImageVision.AI is an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries, including healthcare, security, retail, and autonomous systems. In 2024, CIO Tech Outlook recognized ImageVision.AI as one of the "10 Most Promising Computer Vision Startups."Our mission is to leverage state-of-the-art AI models to develop innovative, real-world applications that transform businesses. Join us and be part of a team pushing the boundaries of AI-powered vision technology!Position OverviewWe are seeking a highly skilled and motivated Technical Computer Vision Lead to spearhead the design, development, and deployment of advanced AI and computer vision solutions. The ideal candidate will have deep technical expertise in computer vision and deep learning, along with a strong track record of leading technical teams and delivering innovative AI-driven products across edge and cloud environments.Key ResponsibilitiesLeadership & StrategyLead and mentor a team of computer vision engineers and data scientists.Collaborate with ML engineers, product managers, hardware teams, and other stakeholders to define system requirements and integrate computer vision technologies into products.Define technical roadmaps, project scopes, and deliverables aligned with business objectives.Technical ExecutionDesign, train, and optimize deep learning models for detection, classification, segmentation, and recognition tasks.Build efficient data pipelines for collection, preprocessing, augmentation, and annotation.Architect full-stack AI pipelines with both hardware and software considerations for real-time deployment.Manage the end-to-end lifecycle of CV features—from rapid prototyping to robust production deployment.Deploy models on edge devices (e.g., Raspberry Pi, iOS, industrial CPUs, custom sensors) and cloud platforms (e.g., AWS, GCP).Optimize inference using ONNX, TensorRT, CUDA, and other performance tools.Integrate models into production applications using Flask, FastAPI, dashboard interfaces, or industrial Machine Vision Software.Innovation & DeliveryExplore and implement state-of-the-art ML / DL architectures such as YOLO, Faster R-CNN, Mask R-CNN, ResNet, Vision Transformers, etc.Lead R&D initiatives across domains such as industrial automation, automotive safety, smart cities, and healthcare.Deliver high-quality documentation, research papers, proposals, and technical reports for internal and external stakeholders.Required Skills & ExperienceTechnical ExpertiseProficient in Python and C++ with strong understanding of Flask, SQL, and web integration.Hands-on experience with ML / DL frameworks : TensorFlow, PyTorch, Keras, OpenCV, ONNX, scikit-learn.Expertise in training, fine-tuning, and optimizing models using techniques like hyperparameter tuning,