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! About the Role: We are seeking a skilled Computer Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing cutting-edge computer vision algorithms, working on real-world applications involving image processing, object detection, recognition, and deep learning. If you are passionate about AI, machine learning, and solving challenging problems in computer vision, we would love to hear from you! Key Responsibilities: · Develop and Optimize CV Algorithms: . Design, implement, and optimize computer vision and deep learning models for tasks such as object detection, image segmentation, and tracking. o Improve image classification, feature extraction, and OCR performance. · Machine Learning & Deep Learning Implementation: o Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn. o Work with CNNs, transformers, GANs, and self-supervised learning techniques. · Data Processing & Model Training: o Process and augment large-scale image and video datasets. o Optimize model performance for real-time applications on edge devices or cloud-based solutions. · Software Development & Deployment: o Develop efficient Python pipelines for real-time image processing and have C++ plus. o Deploy AI models into production environments, mobile devices, or embedded systems. · Collaboration & Research: o Work closely with AI researchers, software engineers, and product teams to develop innovative solutions. o Stay updated with the latest research in computer vision, deep learning, and AI. Required Qualifications: · Education: o Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or Data Science a related field. · Technical Skills: o 2+ years Strong programming skills in Python and plus to have C++. o Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn. o Proficiency in deep learning architectures like CNNs (SSD,Faster-Rcnn,YOLO), RNNs, and Vision Transformers. o Understanding image processing techniques, feature extraction, and object recognition, Model Parameters tuning. o Experience with cloud computing platforms (AWS, Google Cloud). o Familiarity with MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO) · Soft Skills: o Strong analytical and problem-solving abilities. o Ability to work independently and within a team. o Excellent communication skills in English. Why Join ImageVision.AI? ✅ Work on cutting-edge AI and computer vision projects. ✅ Opportunity to contribute to real-world applications. ✅ Collaborative and fast-paced AI-driven environment. ✅ Competitive salary and benefits. If you're passionate about AI and computer vision, apply now and be part of our innovative team!
Job Summary: We are looking for a creative and detail-oriented Jr. Graphic Designer to join our Marketing team. You will be responsible for producing visually engaging and brand-consistent assets across various digital and print platforms to support our marketing and communication efforts. The ideal candidate is a visual storyteller who can translate strategic ideas into compelling designs that drive engagement and results. Key Responsibilities: Design high-impact visuals for marketing campaigns, including: Assist in designing presentations and documents, ensuring brand consistency. Event and promotional materials. Social media graphics. Blog and content illustrations. Collaborate with marketing managers, content writers, and digital marketers to deliver cohesive campaign assets. Ensure all designs are aligned with brand guidelines and maintain visual consistency. Requirements: 2 to 4 years of experience as a graphic designer. Proficiency in Adobe Creative Suite (Illustrator, InDesign, After Effects, Photoshop). Basic understanding of digital marketing platforms and requirements (e.g., social media sizes, ad specs, etc.). Attention to detail and a passion for visual storytelling. Motion graphics or video editing experience is an added advantage.
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! About the Role: We are seeking a skilled Geospatial Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing advanced vision algorithms, focusing on 3D depth estimation, geospatial analysis, multi-sensor object detection, and drone-based 3D vision. If you are passionate about AI, sensor fusion, and working with LiDAR, point cloud, hyperspectral cameras, and drone imaging, we would love to hear from you! Key Responsibilities: Develop and Optimize Geospatial Vision Algorithms: Design, implement, and optimize computer vision and deep learning models for 3D depth estimation, geospatial analysis, and 3D object detection. Implement and fine-tune object detection models for multi-sensor fusion, integrating LiDAR, hyperspectral imaging, point cloud data, and drone-based 3D vision. Machine Learning & Sensor Fusion Implementation: Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn. Work with CNNs, transformers, and self-supervised learning techniques for geospatial applications. Optimize models for edge computing and real-time processing in autonomous systems and drones. Data Processing & Model Training: Experience with 3D Annotation tools for 3D data preparation Process and augment large-scale 3D datasets including LiDAR, satellite imagery, drone imaging, and hyperspectral and depth estimation data. Optimize model performance for real-time applications on cloud and embedded platforms. Software Development & Deployment: Develop efficient Python/ C++ pipelines for real-time 3D vision and geospatial processing. Deploy AI models into production environments, drones, and autonomous systems. Collaboration & Research: Work closely with AI Team and Application product team to develop innovative solutions. Stay updated with the latest research in geospatial vision, deep learning, drone-based vision, and 3D reconstruction. Required Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Remote Sensing, or a related field. Technical Skills: 2+ years of strong programming skills in Python and C++. Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn. Proficiency in deep learning architectures like CNNs, RNNs, and Vision Transformers. Hands-on experience with object detection and segmentation models such as YOLO, Faster R-CNN, and SSD. Proficiency in 3D libraries such as Open3D, PCL (Point Cloud Library), PDAL, and Meshlab. Expertise in geospatial vision, 3D depth estimation, multi-sensor fusion, and drone-based 3D vision. Experience working with LiDAR, point cloud, hyperspectral cameras, satellite imagery, and drone-mounted sensors. Familiarity with cloud computing platforms (AWS, Google Cloud). Understanding of MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO). Soft Skills: Strong analytical and problem-solving abilities. Ability to work independently and within a team. Excellent communication skills in English. Why Join ImageVision.AI? ✅ Work on cutting-edge AI, geospatial vision, and drone-based 3D vision projects. ✅ Opportunity to contribute to real-world applications. ✅ Collaborative and fast-paced AI-driven environment. ✅ Competitive salary and benefits.
About Capten.ai Capten.ai is redefining how enterprises modernize and build software. While our flagship AI-powered software engineering platform is in the next phase of development, we are actively engaging in high-impact consulting projects and proof-of-concepts (PoCs) that leverage cutting-edge AI copilots and domain-specific coding agents. Role Overview We are looking for Software Engineers with a strong foundation in data structures, algorithms, and system design to join our PoC and consulting initiatives. You don’t need prior experience with AI coding copilots — we will train you to work with open-source development tools and special AI agents (particularly for COBOL modernization and related domains) that we are building in-house. In this role, you will: Collaborate with our AI tools to design, implement, and optimize software solutions for client PoCs. Work closely with senior architects to translate requirements into efficient, scalable solutions. Participate in code reviews, debugging, and performance optimization. Contribute to innovative consulting projects in the modernization and AI-assisted development space. What You’ll Be Doing Apply strong problem-solving skills to real-world business cases. Leverage Capten.ai’s AI copilots and agents to accelerate development. Work with legacy systems (especially COBOL) for modernization projects. Assist in developing internal AI-assisted workflows for consulting engagements. Collaborate across geographies and industries on client-facing deliverables. Requirements Must-Have: 2+ years of professional coding experience. Strong proficiency in data structures, algorithms, and system design . Proficiency in at least one modern programming language (e.g., Java, Python, C++, C#). Ability to quickly learn and adapt to new tools, frameworks, and workflows. Nice-to-Have: Exposure to COBOL or other legacy languages. Familiarity with cloud environments (AWS, Azure, or GCP). Understanding of DevSecOps and CI/CD pipelines. Why Join Us? Be trained in AI-assisted coding workflows with cutting-edge copilots and agents. Work on diverse client projects across industries while shaping the future of software modernization. Opportunity to transition into core product development as our platform resumes active builds. Collaborate with a highly skilled, innovation-driven team.
Capten.ai is redefining how enterprises modernize and build software. While our flagship AI-powered software engineering platform is in the next phase of development, we are actively engaging in high-impact consulting projects and proof-of-concepts (PoCs) that leverage cutting-edge AI copilots and domain-specific coding agents. We are looking for Software Engineers with a strong foundation in data structures, algorithms, and system design to join our PoC and consulting initiatives. You don't need prior experience with AI coding copilots we will train you to work with open-source development tools and special AI agents (particularly for COBOL modernization and related domains) that we are building in-house. In this role, you will collaborate with our AI tools to design, implement, and optimize software solutions for client PoCs. You will work closely with senior architects to translate requirements into efficient, scalable solutions. Additionally, you will participate in code reviews, debugging, and performance optimization. Your contributions will be vital to innovative consulting projects in the modernization and AI-assisted development space. What You'll Be Doing: - Apply strong problem-solving skills to real-world business cases. - Leverage Capten.ai's AI copilots and agents to accelerate development. - Work with legacy systems (especially COBOL) for modernization projects. - Assist in developing internal AI-assisted workflows for consulting engagements. - Collaborate across geographies and industries on client-facing deliverables. Requirements: Must-Have: - 2+ years of professional coding experience. - Strong proficiency in data structures, algorithms, and system design. - Proficiency in at least one modern programming language (e.g., Java, Python, C++, C#). - Ability to quickly learn and adapt to new tools, frameworks, and workflows. Nice-to-Have: - Exposure to COBOL or other legacy languages. - Familiarity with cloud environments (AWS, Azure, or GCP). - Understanding of DevSecOps and CI/CD pipelines. Why Join Us - Be trained in AI-assisted coding workflows with cutting-edge copilots and agents. - Work on diverse client projects across industries while shaping the future of software modernization. - Opportunity to transition into core product development as our platform resumes active builds. - Collaborate with a highly skilled, innovation-driven team.,
Role Overview: You will be joining ImageVision.AI, an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries. The company has been recognized as one of the "10 Most Promising Computer Vision Startups" by CIO Tech Outlook. Your role as a Technical Computer Vision Lead will involve spearheading the design, development, and deployment of advanced AI and computer vision solutions, pushing the boundaries of AI-powered vision technology. Key Responsibilities: - Lead 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. - Design, 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. - Explore 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. Qualification Required: - Proficient 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, transfer learning, and pruning. - Skilled in data analysis, visualization, and pipeline automation. - Proven track record of deploying CV models to production (cloud and edge). - Experience with IoT integrations and edge AI deployments. - 5+ years of experience in AI/ML/Computer Vision, including 2+ years in a technical leadership role. - Demonstrated ability to lead cross-functional teams, manage client relationships, and contribute to proposal development. - Familiarity with domains including industrial automation, smart cities, automotive safety, healthcare imaging, and quality inspection. - Experience with real-time CV applications: defect detection, traffic analysis, surveillance, human activity recognition, etc. - Understanding of Edge AI, IoT ecosystems, and cloud-native deployment models. (Note: Omitted additional details of the company),
You will be joining ImageVision.AI, an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries. In 2024, CIO Tech Outlook recognized ImageVision.AI as one of the "10 Most Promising Computer Vision Startups." Your mission will be to leverage state-of-the-art AI models to develop innovative, real-world applications that transform businesses. Join the team pushing the boundaries of AI-powered vision technology! **Key Responsibilities:** - Lead 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. - Design, 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 featuresfrom 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. - Explore 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 & Experience:** - Proficient 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, transfer learning, and pruning. - Skilled in data analysis, visualization, and pipeline automation. - Proven track record of deploying CV models to production (cloud and edge). - Experience with IoT integrations and edge AI deployments. - 5+ years of experience in AI/ML/Computer Vision, including 2+ years in a technical leadership role. - Demonstrated ability to lead cross-functional teams, manage client relationships, and contribute to proposal development. - Familiarity with domains including industrial automation, smart cities, automotive safety, healthcare imaging, and quality inspection. - Experience with real-time CV applications: defect detection, traffic analysis, surveillance, human activity recognition, etc. - Understanding of Edge AI, IoT ecosystems, and cloud-native deployment models. We offer you the opportunity to lead cutting-edge computer vision projects with real-world industrial impact in a collaborative, fast-paced, and innovative work environment. You will gain exposure to both applied R&D and scalable product deployment in global markets, along with competitive compensation and growth opportunities.,
Role Description This is a full-time, on-site role for a Lead Vision Engineer at our Hyderabad location. The Lead Vision Engineer will be responsible for designing, implementing, and optimizing computer vision algorithms, developing and testing image and video analytics solutions, leading technical projects, and mentoring junior engineers. The role also involves staying current with the latest advancements in computer vision and artificial intelligence to innovate and improve our products. Qualifications Strong skills in Computer Vision and Pattern Recognition Experience in Robotics and relevant applications Proficiency in Computer Science and Data Science methodologies Excellent analytical, problem-solving, and programming skills Strong leadership and team collaboration abilities Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related field Experience in the application domains mentioned (packaging, healthcare, security, transportation, etc.) is a plus