5 3D Vision Jobs

As a Senior Mechatronics Engineer at Eternal Robotics Hypervise, you will be instrumental in designing and implementing cutting-edge automation systems that leverage advanced computer vision and edge AI technologies. Your role will involve collaborating with multidisciplinary teams to ensure the successful deployment of Hypervise-based solutions in various industries such as automotive, apparel, and pharmaceuticals. Your primary responsibilities will include engineering system design, electronics and component selection, mechanical-electronic integration, integration testing, and deployment of Hypervise systems. You will be required to architect end-to-end automation systems, evaluate and select suitable sensors and electronics, collaborate with mechanical engineers for seamless integration, design and conduct integration tests, and lead the deployment process. To excel in this role, you should hold a Bachelor's degree in Mechatronics, Robotics, or a related engineering discipline with a minimum of 5 years of experience in automation, system integration, or mechatronics. Proficiency in CAD tools like SolidWorks and AutoCAD, a strong grasp of control systems, sensors, actuators, and programming languages such as C++, Python, and PLC environments are essential. Familiarity with communication protocols and experience with machine vision systems and robotic arms will be advantageous. Apart from technical skills, the role also requires strong analytical and problem-solving abilities, excellent communication skills, and the ability to collaborate effectively with cross-functional and customer-facing teams. Being detail-oriented and documentation-focused is crucial for success in this position. Your success will be measured based on key result areas such as accurate system architecture development, efficient component selection, high-quality integration, effective execution of integration testing, and timely deployment of Hypervise systems. Key performance indicators will include project delivery timelines, successful POCs, cost-performance balance, documentation quality, integration test scores, and stakeholder satisfaction ratings. If you are passionate about leveraging AI technologies to revolutionize real-time quality inspection and automation in diverse industries, and possess the requisite technical and soft skills, we invite you to join our team at Eternal Robotics Hypervise and contribute to our mission of driving innovation and reliability in industrial automation.,

About Eternal Robotics Hypervise Eternal Robotics" flagship industrial AI platform, Hypervise, is designed to revolutionize real-time quality inspection and automation by leveraging advanced computer vision and edge AI technologies. The clients of Hypervise operate in diverse sectors such as automotive, apparel, and pharmaceuticals where speed, precision, and reliability are crucial for their operations. Role Overview As a seasoned Senior Mechatronics Engineer at Eternal Robotics, you will be responsible for system architecture design, component selection, and hands-on automation deployment. Your role will involve conceptualizing and delivering mechatronic systems that seamlessly integrate mechanical, electrical, and AI-driven technologies. Collaboration with cross-functional teams, including software, AI, and hardware engineers, will be essential to ensure the successful execution and deployment of Hypervise-based automation solutions in client environments. Key Responsibilities Engineering Systems Design - Architect end-to-end automation systems by integrating mechanical, electrical, and AI components. - Develop system flow diagrams, functional architecture, and DFMEA documentation. - Translate business and technical requirements into efficient system designs. Electronics & Component Selection - Evaluate and select appropriate sensors, actuators, controllers, and electronics. - Prepare BOMs to ensure cost-effectiveness, performance, and compatibility. Mechanical-Electronic Integration - Collaborate with mechanical engineers to ensure the seamless integration of mechanical and electronic systems. - Support structural and functional alignment throughout the design process. Integration Testing - Design and document unit/system test cases for validation and debugging. - Conduct integration testing to achieve >90% FAT and 100% SAT success rates. - Identify, analyze, and resolve issues before deployment. Hypervise Deployment - Lead and support the deployment of Hypervise systems into production. - Engage with field teams for on-site implementation, configuration, and troubleshooting. - Monitor and optimize system performance post-deployment. Qualifications & Experience - Bachelor's degree in Mechatronics, Robotics, or a related engineering discipline (Master's preferred). - Minimum of 5 years of experience in automation, system integration, or mechatronics. Technical Skills - Proficiency in CAD tools (SolidWorks, AutoCAD) for mechanical design. - Strong understanding of control systems, sensors, actuators, and PLC/SCADA platforms. - Programming experience in C++, Python, and PLC environments. - Familiarity with communication protocols: Modbus, Profinet, Ethernet/IP, TCP/IP. - Experience with machine vision systems, robotic arms, and 3D vision is advantageous. Soft Skills - Strong analytical and problem-solving abilities. - Excellent verbal and written communication skills. - Ability to coordinate with cross-functional and customer-facing teams. - Detail-oriented and focused on documentation. Key Result Areas (KRAs) - Accurate and timely development of system architecture. - Efficient and performance-driven component selection. - High-quality mechanical-electronic integration. - Effective execution of integration testing with minimal rework. - Timely and seamless deployment of Hypervise systems. Key Performance Indicators (KPIs) - Percentage of projects delivered on time with efficient architectures. - Number of successful POCs leading to client wins. - BOM cost-performance balance and completeness. - DFMEA and system documentation quality. - Integration test scores: 90% FAT, 100% SAT. - Turnaround times: 3 weeks (Planning), 10 days (Functional Testing), 6 days (FAT). - Positive stakeholder feedback and satisfaction ratings.,

This role is for one of the Weekday's clients Min Experience: 3 years JobType: full-time Requirements Key Responsibilities Design, develop, and fine-tune diffusion models for tasks such as furniture detection, placement, replacement, and ultra-realistic rendering in images. Build advanced image re-rendering pipelines that allow seamless integration of furniture into varied real-world environments. Collaborate with product and design teams to understand user needs and develop impactful AI-driven visual solutions. Research and implement cutting-edge generative AI techniques for photorealistic image synthesis. Train, optimize, and deploy large-scale models, ensuring high fidelity and accuracy across diverse datasets. Work closely with DevOps to develop scalable APIs and integrate AI models into production environments. Requirements Technical Experience: 38 years of hands-on experience in Generative AI, with a focus on diffusion models. Proven expertise in object or furniture replacement, placement, and realistic re-rendering using generative approaches. Core Skills: Proficiency inPyTorchfor deep learning model development. In-depth knowledge and experience fine-tuning diffusion models (e.g., Stable Diffusion, DDPM). Experience withGANs,NeRF, or similar models for photorealistic image generation. Strong background indistributed trainingand GPU acceleration (CUDA). Familiarity with 3D vision concepts including rendering pipelines, texture mapping, and lighting simulation. Experience working with large-scale datasets and performance tuning for model accuracy and efficiency. Soft Skills Excellent analytical and problem-solving abilities. Strong communication skills to explain complex architectures and technical decisions. Proactive, collaborative, and team-oriented mindset. Keywords / Tools Generative AI, Diffusion Models, PyTorch, Computer Vision, Deep Learning, CNN, 3D Vision, Image Processing, Object Detection, CUDA, Stable Diffusion, NeRF, GANs

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity Must have skills required: Computer Vision, Camera Calibration, 3d vision About the Role We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis Design and optimize camera calibration procedures for various imaging systems Create robust stereo vision solutions for depth estimation and object localization Implement multi-view geometry techniques for scene understanding and 3D modeling Develop efficient triangulation methods for 3D point cloud generation Collaborate with cross-functional teams to integrate computer vision solutions into larger systems Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications Bachelors in Computer Science, Computer Engineering, or a related field 3+ years of experience in computer vision, with a focus on 3D vision techniques Strong proficiency in camera calibration methods and tools Extensive experience with stereo vision algorithms and epipolar geometry In-depth knowledge of multi-view geometry and structure-from-motion techniques Proven track record in developing 3D reconstruction pipelines Expert-level programming skills in C++ and Python Experience with OpenCV, PCL, or similar computer vision libraries Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks

We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing Be a part of an Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX) Build efficient computer vision pipelines and optimize models for real-time performance Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations Required Skills: Expert in Python, OpenCV, NumPy, and deep learning architectures (eg, ViTs, YOLO, Mask R-CNN) Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks Experience in 3D vision, AR/VR, or LiDAR processing is a plus Nice to Have: Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks Exposure to generative AI models (eg, Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask) Research publications or patents in computer vision and deep learning Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad