Computer Vision Engineer/Sr. Engineer (IVA/AI)

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at MatrixMatrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Role : Computer Vision Engineer/Sr. Engineer - (IVA/AI)Function: Software Development - IVA / Computer VisionWork Location : Vadodara, Gujarat Who are youYou are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience : 2+ Years Qualification : B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects.Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference).Experience building and optimizing libraries for fast computer visionExperience curating data, creating and optimizing models, and running experimentsExpert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc.Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or KerasExperience porting and optimizing models and algorithms for different hardware platformsSuperhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills :Good to have programming skills using Python and C++Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have.Experience working with multiple video streams for simultaneous integration into machine learning algorithmsExperience optimizing deep learning models for embedded form factors. How your day might look likeThe Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives.Design and implement algorithms using C/C++, OpenCV, and TensorFlow.Integrate video analytics solutions with existing systems or platforms.Participate in design reviews and brainstorming sessions with cross-functional teams.Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc.Formulate program specifications and basic prototypes.Efficiently Develop PoC on Algorithms Performance Centric implementation practices.Implement low cost algorithm modules as per need.Troubleshoot issues and provide technical support during integration and deployment phases.Research new technologies and methodologies to enhance video analytics capabilities.Document your work, including writing code documentation or preparing technical reports.

B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or related field