4 Scene Understanding Jobs

You should possess a Master's or PhD degree to be considered for this role. You must have experience in object detection, tracking, classification, recognition, scene understanding, and facial expression analysis. Proficiency in ML techniques such as SVM, boosting, K-means, KNN, HMM, GMM, Ensemble classifier, deep learning, etc., is required. It is essential to have international publications in relevant fields in top-tier conferences and journals. A strong mathematical understanding of signal processing algorithms is necessary, along with up-to-date knowledge of recent trends in machine learning/vision. You should have a solid background in image and video processing techniques, specifically for image/video analysis and enhancement. A robust experience in software engineering, including a good understanding of software architecture, optimization, and programming patterns and paradigms, is expected. Proficiency in prototyping computer vision algorithms in C/C++ is preferred. The ideal candidate should have at least 3+ years of experience after completing a Master's degree or 0+ years of experience after obtaining a Ph.D. The role involves researching and developing algorithms for image and video processing, including facial analysis, object detection, scene analysis, concept recognition, etc., to extract rich and detailed context from images and videos. You will be responsible for implementing novel computer vision and machine learning techniques, improving performance, and extending the capabilities of existing products. Please reach out to Ram at +91 98 1845 4080 / 98 6860 9864 for further information or application. (Note: This job description was sourced from hirist.tech),

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

Company Description Shoplinky is a platform that enables content creators to monetize their content through personalized storefronts, AI-driven brand collaborations, seamless monetization options and social media automations. For brands, Shoplinky offers AI-powered features to integrate products into organic content that drives sales and builds trust. Shoplinky aims to create a community where creators, brands, and audiences collaborate to make commerce more engaging and rewarding. Role Responsibilities Participate in developing computer vision models for object detection, scene segmentation, and tracking in video content Implement motion-aware logic for placing 3D objects accurately in dynamic video scenes Build video processing workflows for analyzing frames and applying virtual product overlays Contribute to NLP and recommendation models for suggesting relevant products based on content context Collaborate with 3D and platform teams to support rendering and positioning of assets in real time Engage in testing, debugging, and optimizing AI models. Participate in model evaluation and dataset handling for iterative improvements Work closely with developers and the team Qualifications Foundational knowledge of Computer Vision, 3D geometry and motion tracking Exposure to object detection, pose estimation, or scene understanding (OpenCV, Mediapipe, etc.) Familiarity with 3D formats or engines (e.g., GLTF, Three.js, Unity, Blender) Proficient in Python and basic experience with ML libraries (e.g., PyTorch, TensorFlow) Bonus: exposure to NeRFs, SLAM, or AR/VR projects Bachelors degree in Computer Science, AI, or related field (or pre-final year student with bold understanding about the skillset mentioned) Experience in integrating Generative AI Models. Enthusiastic learner with strong problem-solving skills and interest in content + commerce AI Interested candidates, please share your resumes at [HIDDEN TEXT] Show more Show less

We are looking for a highly skilled AI and 3D Computer Vision Developer to join our innovative team. Your main focus will be on developing advanced algorithms for spatial perception, 3D computer vision, and sensor data analytics. As part of this role, you will be responsible for designing and implementing cutting-edge AI solutions for object detection, tracking, and scene understanding. Additionally, you will work on sensor data analytics for various applications. Your expertise in machine learning, deep learning, and computer vision will be crucial in creating real-time applications. Strong proficiency in spatial analytics, sensor fusion, and data-driven problem-solving is essential for success in this role. If you are passionate about pushing the boundaries of AI and 3D perception, we are excited to hear from you! To be considered for this position, you should have a minimum of 4+ years of overall work experience. Ideal candidates will have experience in areas such as spatial or scene understanding, data analytics, and advanced AI technologies. This includes expertise in detection, tracking, segmentation, recognition, handling large volumes of sensor data, and hands-on experience with Large Language Models, Generative AI, and other cutting-edge artificial intelligence technologies.,