About Bidaal Bidaal is an AI-IoT startup founded by IIT Kharagpur graduates focused on building cutting edge AI-driven solutions for heavy industries such as Mining Oil Gas Steel Plants Manufacturing Units Airports and large industrial infrastructure Our platform enables workplace safety productivity enhancement and regulatory compliance through proprietary in-house technologies powered by Computer Vision AI and IoT We are addressing real-world industrial challenges at scale combining deep tech innovation with enterprise-grade deployment If you are passionate about building production-ready AI systems and want to see your work deployed in high-impact environments Bidaal is the place for you About the Role We are looking for a Senior Computer Vision Engineer with 5-6 years of hands-on experience in building deploying and scaling advanced computer vision systems This role is ideal for someone who thrives on ownership enjoys solving complex real-world vision problems and is comfortable taking solutions from research to production You will work closely with product hardware and engineering teams while also mentoring junior engineers and driving technical excellence across projects Roles Responsibilities Design develop and optimize state-of-the-art computer vision and deep learning models for use cases including - Object detection classification and segmentation - Multi-object tracking and pose estimation - OCR and document understanding - 3D vision stereo vision depth estimation structure-from-motion Architect and build scalable production-ready CV pipelines and workflows for real world industrial deployment Lead experimentation benchmarking performance evaluation and model optimization initiatives Collaborate closely with product hardware and platform teams to translate business and field requirements into robust technical solutions Implement and optimize models using ONNX TensorRT quantization pruning and edge-optimized deployment strategies Deploy and integrate CV systems across edge devices NVIDIA Jetson embedded systems and cloud-based GPU environments Design and maintain DeepStream and GStreamer pipelines for real-time video analytics Stay up to date with the latest research evaluate emerging architectures and drive the adoption of innovative techniques where applicable Contribute to project planning technical documentation architectural decisions and long-term roadmap discussions Provide technical mentorship and guidance to junior engineers ensuring best practices and code quality Who Are You Experience 5-6 years of strong hands-on experience in Computer Vision Deep Learning or Applied Machine Learning with a proven record of production deployments Core Technical Skills - Strong proficiency in Python OpenCV NumPy - Expertise in PyTorch and or TensorFlow - Solid understanding of classical computer vision algorithms imaging fundamentals and feature extraction Model Architecture Experience - Detection YOLO Faster R-CNN SSD DETR - Segmentation U-Net Mask R-CNN - Tracking SORT DeepSORT ByteTrack and custom multi-object tracking pipelines - OCR CRNN transformer-based OCR document AI workflows Deployment Optimization - Hands-on experience with TensorRT ONNX Runtime quantization and pruning - Experience deploying models on NVIDIA Jetson ARM-based devices or enterprise production environments Software Engineering Excellence - Clean modular and scalable coding practices - Strong debugging profiling and optimization skills - Experience with Git and CI CD workflows Ownership Mindset - Ability to independently own projects make architectural decisions and manage timelines effectively - Comfortable working in quick-paced high-impact environments Good to Have Experience with AWS GCP or hybrid cloud-edge deployments GPU CPU performance optimization for real-time inference with limited resources Understanding of networking fundamentals for distributed inference systems Experience with multi-camera systems calibration and depth estimation Familiarity with MLOps tools such as MLflow Docker Kubernetes What We Offer Salary As per industry standards based on experience role fit Working Days 6 days a week Onsite in Noida alternate Saturday WFH Culture Opportunity to work on large-scale real-world industrial computer vision deployments Collaborative culture with highly skilled engineers and cross-functional teams High ownership autonomy and freedom to experiment and innovate Learning Potential Exposure to advanced AI infrastructure edge computing and enterprise-grade systems Job Type Full-time Pay From 200 000 00 per month Benefits Health insurance Paid sick time Provident Fund Work from home Work Location In person