6 Face Recognition Jobs

As an AI Computer Vision Engineer with 4+ years of experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, and face recognition. You will optimize models for performance on edge devices and apply data augmentation techniques to image/video datasets. Additionally, you will need proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Your role will involve hands-on implementation of machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms. Understanding image processing concepts and experience in model optimization, quantization, or deploying to edge devices will be essential. You should have strong programming skills in Python (or C++) and expertise in implementing and optimizing machine learning pipelines for seamless integration into production systems. Experience with real-time computer vision applications, OpenCV, NumPy, PyTorch/TensorFlow, and computer vision models like YOLOv5, Mask R-CNN will be beneficial. Engaging with multiple teams, contributing to key decisions, and providing solutions that apply across multiple teams are expected from you. You will lead the implementation of large language models in AI applications and research cutting-edge AI techniques to enhance system performance. Contribution to the development and deployment of AI solutions across various domains is also part of your responsibilities. In terms of requirements, you should design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection, and named entity recognition. Evaluating and integrating third-party OCR tools, developing pre-processing and post-processing pipelines for image/text data, and familiarity with video analytics platforms are necessary skills. Experience with MLOps tools, academic CV research, and knowledge of GPU acceleration or hardware integration will be advantageous for this role.,

As a Senior Design Engineer specializing in Security & Turnstile Systems, you will be responsible for leading the design and development of security access control products, particularly mechanical turnstiles, flap barriers, and swing gates. Your role will involve creating detailed 3D CAD models, assembly drawings, and BOMs using SolidWorks/AutoCAD. Additionally, you will perform design calculations, stress analysis, and component selection for mechanisms, actuators, and structural parts. Collaboration with electrical, embedded, and firmware teams will be essential to integrate sensors, motors, and control systems. You will be tasked with optimizing designs for cost, performance, reliability, and manufacturability. Working closely with prototyping, testing, and manufacturing teams will be necessary to validate design functionality, conduct root-cause analysis, and implement design improvements based on field feedback. It will also be part of your responsibilities to maintain engineering documentation and revision control, as well as stay updated with industry trends and suggest new materials, technologies, and manufacturing techniques. Your work will contribute to the innovation, manufacturability, and compliance with industry standards of the products developed. To qualify for this role, you should hold a Bachelor's degree in Mechanical Engineering and have a minimum of 4 years of hands-on experience in designing turnstiles, access gates, or related security control systems. Strong knowledge of mechanical systems, sheet metal design, drive mechanisms, and enclosure design is required. Proficiency in CAD tools, preferably SolidWorks, and familiarity with IP ratings, safety standards, and industrial design principles for public-use products are essential. Experience with prototyping methods, DFMA principles, and mechatronic systems including motor selection (BLDC/Servo), gear mechanisms, and feedback sensors will be beneficial. Strong communication and documentation skills are necessary for effective collaboration with cross-functional teams. Preferred qualifications include experience with access control integrations (RFID, biometric, face recognition), understanding of EMC, electrical enclosures, and international design standards (CE, UL, etc.). In return, we offer a competitive salary based on experience, the opportunity to lead cutting-edge product development, a collaborative and innovation-driven work culture, and exposure to global markets and product certifications. Join us in this exciting role and make a significant impact in the development of advanced security and turnstile systems.,

You are a dynamic and solution-driven Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions by leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. As a Computer Vision Engineer at our organization, you will play a critical role in the entire lifecycle of our products, from ideation to development, production, and deployment. You will be a part of our internal Computer Vision/Video Analytics team, which specializes in applied research and is central to the perception algorithms deployed across our products. Your responsibilities will include leading and mentoring a team of engineers, collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow, integrating video analytics solutions with existing systems or platforms, executing AI algorithms using various platform-specific frameworks, troubleshooting issues, providing technical support during integration and deployment phases, and researching new technologies and methodologies to enhance video analytics capabilities. To be successful in this role, you should have a minimum of 2 years of experience and hold a qualification in B.E/B.tech/M.E/M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or a related field. You must possess good experience in Deep Learning/Computer Vision projects, working exposure with Neural networks, CNN, and experience with deep learning frameworks such as Tensorflow, PyTorch, or Keras. Additionally, having programming skills using Python and C++, exposure to projects like Object Detection/Motion Detection/Face Recognition, and experience optimizing deep learning models for embedded form factors would be advantageous. You should also have a superhuman thirst for learning and be proactive in scouting for ideas and keeping up-to-date with advancements in the field. Join our team of like-minded engineers, applied researchers, and technocrats who share the will, courage, and madness to achieve our mission of designing, developing, and manufacturing world-class technology products for customers worldwide, right from India. If you are an innovative and tech-savvy individual looking for a challenging and rewarding environment, apply now to be part of our incredible journey!,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company in Vadodara, Gujarat, you will play a crucial role in the Software Development team focusing on IVA/Computer Vision. With a minimum of 2 years of experience and a degree in B.E/B.tech/M.E/ M.tech in EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE, or related fields, you will have the opportunity to work on cutting-edge projects that leverage deep learning and computer vision techniques to extract meaningful insights from video streams. Your day-to-day responsibilities will involve collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow. You will lead and mentor a team of engineers, participate in design reviews, integrate video analytics solutions with existing systems, and execute AI algorithms using various platform-specific frameworks like TensorRT and TensorFlow Lite. Additionally, you will research new technologies and methodologies to enhance video analytics capabilities and document your work through code documentation and technical reports. The ideal candidate for this role will have a strong foundation in Deep Learning/Computer Vision projects, with expertise in neural networks, CNN, model training strategies, and deep learning frameworks such as Tensorflow, PyTorch, or Keras. Good programming skills in Python and C++, along with experience in projects like Object Detection, Motion Detection, and Face Recognition, will be beneficial. You should also possess the ability to optimize deep learning models for embedded form factors and have a thirst for continuous learning and advancement in the field. Joining our team will provide you with the opportunity to work for an Indian Tech Company that creates innovative products for a global audience. You will be part of a challenging and rewarding environment, receive a competitive salary and other benefits, and enjoy a generous leave schedule, including company-paid medical insurance for the whole family. If you are an innovative and tech-savvy individual looking to make a significant impact in the field of computer vision and AI, we encourage you to apply and be part of our dynamic team.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company, you will play a crucial role in designing and developing advanced systems for video data processing and analysis. You will be part of a team that excels in creating innovative solutions using computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Join our team in Vadodara, Gujarat, and be a part of our internal Computer Vision/Video Analytics team. This team focuses on applied research and is essential in deploying perception algorithms across our products. You will be involved in the entire product lifecycle - from ideation to deployment, giving you the opportunity to witness the impact of your work firsthand. With a minimum of 2 years of experience and a qualification in B.E/B.tech/M.E/M.tech in relevant fields, you should have good experience in Deep Learning/Computer Vision projects. Your technical skills should include working with Neural networks, CNN, deep learning frameworks such as TensorFlow, PyTorch, or Keras, and optimizing models for different hardware platforms. You will lead in the creation of systems, algorithms, and optimizations for all things computer vision. Your day-to-day activities may include designing and implementing algorithms, integrating video analytics solutions, collaborating with cross-functional teams, troubleshooting issues, and researching new technologies to enhance video analytics capabilities. Join us and be part of an Indian Tech Company that is creating innovative products for the world, right from India. Enjoy a competitive salary, generous leave schedule, company-paid medical insurance for the whole family, and a rewarding work environment that encourages you to do your best work. If you are a dynamic and solution-driven Software Engineer with a passion for technology and innovation, this is the opportunity for you. Join us and be a part of a challenging yet encouraging environment where you can unleash your potential and make a real impact.,

About the Role: Looking for a highly experienced Computer Vision Specialist / AI Engineer to join our dynamic team. The ideal candidate will have a proven track record of delivering real-world computer vision and deep learning solutions, particularly in smart monitoring and edge & cloud AI applications. This role demands deep technical expertise in designing and deploying vision-based solutions such as object detection, object tracking, facial recognition, behavioral analysis, ANPR and OCR. You will lead the development and deployment of scalable, production-grade AI systems. Lead the architecture, development, and deployment of computer vision systems from concept to production. Develop and optimize advanced vision algorithms and deep learning models for real-time performance. Optimize AI/ML models for deployment across edge, cloud, and hybrid environments using tools like TensorRT, TFLite, OpenVINO, and ONNX. Collaborate with hardware and software engineering teams to ensure system-wide performance optimization. Conduct thorough testing, benchmarking, and performance tuning of models and systems. Required Skills & Experience: 25 years of hands-on experience in Computer Vision, Deep Learning, and AI model deployment. Strong proficiency in Python , with production-level experience in writing clean, modular, and scalable code. Familiar with frameworks and tools such as OpenCV, TensorFlow, PyTorch, YOLO, MediaPipe, Dlib. In-depth knowledge of: Convolutional Neural Networks (CNNs) o Object detection and tracking o Facial recognition techniques o Video-based behavioral analysis RTSP streaming, CCTV camera systems, NVR/DVR integration Deployment experience on platforms including: Edge devices (NVIDIA Jetson, Raspberry Pi, Coral Edge TPU) o Cloud (AWS/Azure/GCP) with containerization tools (Docker) Strong understanding of MLOps tools and workflows, including model tracking, data versioning, monitoring, and retraining. Nice to Have: Familiar with LLM and Vision Language Models