We’re Okulr Techminds, an AI, video analytics, and IoT company based in Bangalore. We’re a product company with various products in the Data Analytics, Video Analytics, and IoT, with products in Face recognition, Intelligent Traffic Management, Retail digital transformation analytics, predictive medical analytics, Smart Poles & more. To know more, visit: www.okulr.com We’re recruiting an Automation Test Engineer with 2+ years of experience in handling large-scale software (App & Web) product engineering environments with key skills as mentioned: Drive the software quality assurance lifecycle within an Agile process. Establish and coordinate test strategies with development, product teams. Design and implement test plans and test cases for all projects. Develop and execute automated UI and functional tests. Troubleshoot issues in systems under test environments. OAWSP ZAP and Application Pen Test experience Develop & execute automated test scripts using automated tools such as Appium, Selenium, Selendroid, Calabash, Frank, Katalon, Robotium, Espresso, XCUITest, Parasoft SOA, Postman, k6, Apigee, JMeter for iOS & Android mobile apps, APIs & Web applications. Develop & execute production stage product test simulations for real-life scenarios. Integrating tests into the CI/CD pipeline to ensure that software/product releases are reliable and adhere to high-quality standards. Understanding & experience of Web & Mobile App technologies: Android, iOS, React, Node, GraphQL APIs, Kubernetes, and microservices architecture, etc. Experience working with databases: Mongo, Postgress, SQL, Dynamo. Understanding & experience of working with cloud environments with AWS & Azure. Maintain QA documentation as per the SOPs & guidelines. Experience with version control, defect tracking, and test management tools such as GIT, Jenkins & JIRA. Document defects using the project’s defect management tools. Work with the application team to resolve any issues that arise out of the testing process. Participate in the release control process (when the application is transferred from the build team to the test team) to ensure that solutions meet business requirements. Validate fixes for identified anomalies. Experience in Functional Manual Testing. Good written and verbal communication skills.
Were Okulr Techminds, an AI, video analytics, and IoT company based in Bangalore. Were a product company with various products in the Data Analytics, Video Analytics, and IOT, with products in Face recognition, Intelligent Traffic Management, Retail digital transformation analytics, predictive medical analytics, Smart Poles & more. To know more, visit: www.okulr.com Job Title: Full Stack Developer Job Description: Were hiring Full - stack Developers with a minimum 3-5years experience in React, Angular,Node, MongoDB, Postgress, TypeScript, Kafka, Docker, Socket, APIs, MQTT, Microservices architecture, AWS & Azure deployments, Nginx, Apache, GitHub, Jira. Deep knowledge of working on large application dashboards integrating with payment gateways, Maps, SMS/WhatsApp, and other 3rd party apps and IoT devices, knowledge of working on AI platforms will be an advantage. Show more Show less
We’re Okulr Techminds , an AI, video analytics, and IoT company based in Bangalore. We’re a product company with various products in the Data Analytics, Video Analytics, and IOT, with products in Face recognition, Intelligent Traffic Management, Retail digital transformation analytics, predictive medical analytics, Smart Poles & more. To know more, visit: www.okulr.com Job Title: Full-Stack Developer(3–5 Years Experience) Are you a problem-solver who thrives on building scalable applications? We’re looking for Full-Stack Developers with 3–5 years of hands-on experience to join our growing team and work on exciting real-world projects. What You’ll Work On Developing and scaling large application dashboards Building and optimizing REST APIs for high-performance applications Implementing WebSocket communication, caching, and queue management for real-time, scalable systems Integrating with payment gateways, Maps, SMS/WhatsApp APIs, and IoT devices Designing solutions using microservices architecture Managing deployments on AWS & Azure with Docker, Nginx, Apache Ensuring seamless data flows with Kafka, MQTT, and APIs Delivering great UI/UX with React, Angular, TypeScript, Node.js Backend systems using MongoDB, PostgreSQL Collaborating using GitHub & Jira Bonus: If you have experience with AI platforms, that’s a big plus! What We’re Looking For 3–5 years of professional full-stack development experience Strong grasp of frontend & backend frameworks Proven expertise in REST API design and development Hands-on with WebSockets, caching strategies, and queue management Experience in building scalable, enterprise-grade applications Solid understanding of cloud deployments (AWS/Azure) and DevOps practices Ability to integrate and scale 3rd-party APIs and services Passion for clean, maintainable, well-tested code
We’re Okulr Techminds , an AI, video analytics, and IoT company based in Bangalore. We’re a product company with various products in the Data Analytics, Video Analytics, and IOT, with products in Face recognition, Intelligent Traffic Management, Retail digital transformation analytics, predictive medical analytics, Smart Poles & more. To know more, visit: www.okulr.com Job Title: Computer Vision Developer About the Role: We are seeking a skilled and passionate Computer Vision Developer to join our team. You will be responsible for building, optimizing, and deploying computer vision models and algorithms to solve real-world challenges. The role requires strong expertise in image/video processing, machine learning/deep learning frameworks, and an ability to translate business requirements into scalable technical solutions. Key Responsibilities: Design, develop, and deploy computer vision solutions for tasks such as object detection, recognition, tracking, and classification, as well as Face recognition, License plate recognition & more. Work with image/video datasets: data collection, cleaning, annotation, and augmentation. Implement and optimize deep learning models (CNNs, GANs, RNNs, Transformers, etc.) for vision-based applications. Apply algorithms for 2D/3D vision problems, including feature extraction, segmentation, and pose estimation. Optimize models for performance on edge devices, cloud platforms, or GPUs. Collaborate with software engineers, product managers, and data scientists to integrate vision solutions into products. Conduct research and stay updated on the latest advancements in computer vision and AI. Required Skills & Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or a related field. Strong proficiency in Python and libraries such as OpenCV, NumPy, PyTorch, TensorFlow, and Keras . Experience with computer vision algorithms : image classification, object detection (YOLO, Faster R-CNN, SSD), semantic/instance segmentation, tracking, OCR, etc. Excellent understanding of deep learning architectures (CNNs, ResNet, EfficientNet, Vision Transformers). Hands-on experience with model optimization and deployment (ONNX, TensorRT, edge AI frameworks). Familiarity with tools like Docker, Git, cloud platforms (AWS, GCP, Azure) . Strong problem-solving skills and ability to work in a collaborative environment. Preferred Skills: Experience with 3D vision, point clouds, SLAM, AR/VR, LiDAR, or video analytics . Knowledge of MLOps pipelines for continuous integration and deployment of ML models. Experience in C++ for performance-critical CV applications. Prior experience in applying a CV in industries like healthcare, automotive, retail, or surveillance
We're Okulr Techminds , an AI, video analytics, and IoT company based in Bangalore. We're a product company with various products in the Data Analytics, Video Analytics, and IOT, with products in Face recognition, Intelligent Traffic Management, Retail digital transformation analytics, predictive medical analytics, Smart Poles & more. To know more, visit: www.okulr.com Job Title:Computer Vision Developer About the Role: We are seeking a skilled and passionate Computer Vision Developer to join our team. You will be responsible for building, optimizing, and deploying computer vision models and algorithms to solve real-world challenges. The role requires strong expertise in image/video processing, machine learning/deep learning frameworks, and an ability to translate business requirements into scalable technical solutions. Key Responsibilities: Design, develop, and deploy computer vision solutions for tasks such as object detection, recognition, tracking, and classification, as well as Face recognition, License plate recognition & more. Work with image/video datasets: data collection, cleaning, annotation, and augmentation. Implement and optimize deep learning models (CNNs, GANs, RNNs, Transformers, etc.) for vision-based applications. Apply algorithms for 2D/3D vision problems, including feature extraction, segmentation, and pose estimation. Optimize models for performance on edge devices, cloud platforms, or GPUs. Collaborate with software engineers, product managers, and data scientists to integrate vision solutions into products. Conduct research and stay updated on the latest advancements in computer vision and AI. Required Skills & Qualifications: Bachelor's/Master's in Computer Science, AI, Data Science, or a related field. Strong proficiency in Python and libraries such as OpenCV, NumPy, PyTorch, TensorFlow, and Keras . Experience with computer vision algorithms : image classification, object detection (YOLO, Faster R-CNN, SSD), semantic/instance segmentation, tracking, OCR, etc. Excellent understanding of deep learning architectures (CNNs, ResNet, EfficientNet, Vision Transformers). Hands-on experience with model optimization and deployment (ONNX, TensorRT, edge AI frameworks). Familiarity with tools like Docker, Git, cloud platforms (AWS, GCP, Azure) . Strong problem-solving skills and ability to work in a collaborative environment. Preferred Skills: Experience with 3D vision, point clouds, SLAM, AR/VR, LiDAR, or video analytics . Knowledge of MLOps pipelines for continuous integration and deployment of ML models. Experience in C++ for performance-critical CV applications. Prior experience in applying a CV in industries like healthcare, automotive, retail, or surveillance