Ajna Lens - AI Developer

Job Description : - Design, develop, and implement advanced AI algorithms for spatial perception, including object detection, tracking, segmentation, and recognition in 3D environments. - Develop and apply 3D computer vision techniques for scene understanding, reconstruction, and analysis from various sensor inputs (e.g., cameras, LiDAR, depth sensors). - Work extensively with large volumes of sensor data (e.g., IoT, IMU) to uncover meaningful patterns and insights through data analytics techniques. - Implement signal processing techniques for time-series data analysis and feature extraction from sensor data. - Develop and deploy anomaly detection and predictive modeling algorithms on sensor data for various applications. - Design and implement real-time AI and computer vision applications, optimizing for performance and efficiency. - Utilize and integrate machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) to build and train AI models. - Apply strong proficiency in spatial analytics and sensor fusion techniques to enhance the accuracy and robustness of perception systems. - Leverage data-driven problem-solving approaches to tackle complex challenges in AI and 3D vision. - Stay up-to-date with the latest advancements in AI, 3D computer vision, and sensor data analytics. - Collaborate effectively with cross-functional teams to integrate AI and vision solutions into larger systems. - Document algorithms, methodologies, and results clearly and concisely. - (Ideal Fit) Explore and apply knowledge of Large Language Models and Generative AI to enhance perception and scene understanding tasks. Youll be an ideal fit if you have experience in any of the following areas : - Spatial or Scene Understanding : Deep expertise in detection, tracking, segmentation, recognition, and related tasks in 2D and 3D. - Data Analytics : Proven proficiency in handling large volumes of sensor data (e.g., IoT, IMU) to uncover meaningful patterns and insights. This includes in-depth experience analyzing time-series data, applying signal processing techniques, and implementing anomaly detection as well as predictive modeling. - Advanced AI Technologies : Hands-on experience with Large Language Models, Generative AI, and cutting- edge artificial intelligence Skills & Experience : - Minimum of 4 years of overall work experience in a relevant field. - Strong foundation in computer science, electrical engineering, robotics, or a related discipline. - Proven experience in developing and implementing algorithms for computer vision and/or machine learning. - Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch). - Proficiency in programming languages relevant to AI and computer vision (e.g., Python, C++). - Solid understanding of linear algebra, calculus, probability, and statistics. - Experience working with sensor data (e.g., camera images, point clouds, IMU data). - Strong problem-solving and analytical skills. - Excellent communication and collaboration Skills (Good to Have) : - Experience with specific 3D computer vision libraries and tools (e.g., OpenCV, Open3D, PCL). - Experience with sensor fusion techniques (e.g., Kalman filtering). - Familiarity with real-time operating systems (RTOS) and embedded systems. - Publications in relevant conferences or journals. - Experience with GPU programming (CUDA, OpenCL). - Knowledge of robotics and autonomous systems. (ref:hirist.tech)

Location: thane, IN

Posted Date: 4/18/2025