4 Open Cv Jobs

You should have at least 5+ years of experience and be proficient in Computer vision, Image processing, C++, Open CV, and Camera calibration. The job is based in Bangalore, India and follows a hybrid mode of work. As a candidate, you are expected to have experience in software design and implementation, with a strong proficiency in C++ and Object Oriented Analysis & Object Oriented Design Methodologies. Deep theoretical and practical background in Applied Mathematics, Optimization, Signal Processing, and Object/Pattern Recognition is required. Additionally, experience in debugging and bringing up prototype HW/SW systems, including optics, illumination, imaging sensors, and their interactions with motion systems is necessary. Exposure to machine learning techniques such as developing high-level image scene classifiers and adaptive vision algorithms based on feature extraction and data mining is preferred. The ability to construct the entire system from concept development, data collection, real-time implementation to field deployment is a key aspect of the role. You should have hands-on experience in computer vision algorithms and implementation, as well as strong expertise in image processing and Open CV. Proficiency in camera calibration, C++, and basic concepts such as spatial filtering, edge detection, histogram analysis, morphological processing, and pattern matching is essential. This position falls under the IT job category and requires a educational qualification of BE, B.Tech, M.Tech, ME, or MCA. The work location for this role is in Bangalore, India.,

Responsibilities: * Design, develop & maintain backend Python apps using PyTorch, Flask & Redis. * Collaborate with cross-functional teams on image processing projects with YOLO & OpenCV.

Urgent Opening for the post of Sr. Unity Developer - Permanent WFH. About the Role We are seeking an experienced Unity Developer to lead the development of an AR-based measurement application. This role requires expertise in ARCore/ARKit, OpenCV, and integration of object detection/segmentation models for real-world dimension measurement. You will work in a fully remote team, collaborating with AI/ML engineers and product designers to deliver a cutting-edge AR solution capable of detecting windows and calculating their height and width with precision. This is a full-time position for professionals who thrive on solving complex AR and computer vision challenges. Key Responsibilities 1. Develop and maintain an AR application in Unity3D using ARCore/ARKit for IOS. 2. Integrate OpenCV-based object detection and segmentation workflows into Unity (using OpenCV or Unity plugin or external APIs). 3. Process real-time camera frames and overlay detection results accurately in AR space. 4. Implement algorithms to calculate real-world window dimensions using ARCore/ARKit plane data and camera intrinsic parameters. 5. Optimize app performance for real-time AR experiences on mobile devices (latency, memory, and frame rate). 6. Debug AR tracking issues and fine-tune alignment between detection results and AR overlays. 7. Collaborate with AI engineers to manage Unity-to-Python server communication for ML inference (if applicable). 8. Write clean, efficient, and maintainable C# code following industry best practices. Required Skills & Qualifications 1. 3+ years of professional experience with Unity3D (C#) development. 2. Proven expertise in ARCore/ARKit (plane detection, depth sensing, anchors, AR tracking). 3. Strong knowledge of OpenCV for image processing and object detection workflows. 4. Experience integrating ML models into Unity (via REST API, ONNX Runtime, or OpenCVForUnity plugin). 5. Deep understanding of camera calibration (focal length, FOV) and coordinate system transformations. 6. Excellent debugging and optimization skills for mobile AR applications. 7. Ability to work independently in a remote team and communicate effectively. Preferred Qualifications 1. Experience with ARFoundation (for cross-platform AR development). 2. Familiarity with Android and iOS build pipelines. 3. Prior work on AR measurement tools or similar real-world dimensioning apps. 4. Basic knowledge of Python for interacting with AI inference servers. 5. Experience in working on projects involving YOLO, Mask R-CNN, or other segmentation models. Tools & Technologies 1. Unity3D (C#) 2. ARCore/ARKit / ARFoundation 3. OpenCV (OpenCVForUnity plugin or external Python API) 4. ONNX Runtime / TensorFlow Lite / Barracuda (for ML model integration) 5. Git for version control 6. Android/iOS build workflows

Role Overview As a Software AI Engineer in the System Optimization team, you will contribute to developing scalable, efficient AI-powered solutions deployed on edge devices. This role involves working with a multidisciplinary team to enhance software performance, optimize resource usage, and streamline AI model integration into production environments. Responsibilities Contribute to the development of tools and frameworks for performance measurement and system optimization. Assist in profiling and tuning AI models and software components for deployment on edge platforms (CPU/GPU/DSP). Support algorithm integration for driver monitoring and driver assistance systems. Help optimize data pipelines and logging/reporting mechanisms to support real-time analytics. Collaborate with senior engineers to identify bottlenecks and implement efficient code. Support debugging and triaging of issues in production and test environments. Required Skills B.E/B.Tech or M.E/M.Tech in Computer Science, Electronics, Electrical, or related fields. 23 years of experience in software development, preferably in embedded or IoT environments. Good grasp of CS fundamentals including data structures, algorithms, and operating systems. Proficiency in at least one programming language: C/C++, Python. Basic knowledge of system profiling, performance tuning, or resource optimization. Familiarity with ML/CV concepts and frameworks such as OpenCV, TensorFlow, PyTorch, or ONNX is a plus. Exposure to build systems (Make/CMake), version control (Git), and CI/CD tools like Jenkins. Preferred (Good to Have) Familiarity with embedded/edge computing platforms such as NVIDIA Jetson, Qualcomm Snapdragon, etc. Exposure to ML optimization tools like TensorRT, SNPE, or OpenVino. Understanding of containerization (Docker) and orchestration (Kubernetes) environments. Hands-on experience with Linux-based development and debugging.