Role Description: We are seeking a full-time Computer Vision Developer for an on-site role based in Gurugram . You will be responsible for designing, developing, and optimizing computer vision pipelines and algorithms for real-time applications. The role involves working on object detection, tracking, OCR, and edge AI deployment. You’ll collaborate closely with cross-functional teams to integrate vision models into embedded systems and smart devices, contributing to the development of AI-powered products from prototype to production. Key Responsibilities: Develop and implement computer vision algorithms Optimize models for real-time inference on edge devices (e.g., Jetson, Raspberry Pi, ARM boards) Preprocess and annotate image/video datasets for training and validation Train, fine-tune, and evaluate deep learning models using frameworks like PyTorch or TensorFlow Integrate models into production pipelines, working with embedded engineers where required Conduct research on state-of-the-art vision techniques and evaluate applicability Debug, profile, and optimize performance for low-latency deployments Collaborate across software, hardware, and product teams for end-to-end solution delivery Qualifications: Strong hands-on experience in computer vision Proficiency with deep learning frameworks (PyTorch, TensorFlow, ONNX) Experience with pattern recognition, object detection, segmentation, or OCR Familiarity with embedded systems, NVIDIA Jetson, or ARM-based platforms is a plus Solid understanding of image processing, linear algebra, and optimization techniques Experience with data annotation tools (LabelImg, CVAT, Roboflow) Strong problem-solving and debugging skills Bachelor’s or Master’s degree in Computer Science, AI, or related fields Bonus: Experience with real-time video processing, GStreamer, or edge model quantization
You are a full-time Computer Vision Developer based in Gurugram, responsible for designing, developing, and optimizing computer vision pipelines and algorithms for real-time applications. Your role includes working on object detection, tracking, OCR, and edge AI deployment. You will collaborate closely with cross-functional teams to integrate vision models into embedded systems and smart devices, contributing to the development of AI-powered products from prototype to production. Your key responsibilities will involve developing and implementing computer vision algorithms, optimizing models for real-time inference on edge devices, preprocessing and annotating image/video datasets for training and validation, training, fine-tuning, and evaluating deep learning models using frameworks like PyTorch or TensorFlow. You will also integrate models into production pipelines, conduct research on state-of-the-art vision techniques, debug, profile, and optimize performance for low-latency deployments, and collaborate across software, hardware, and product teams for end-to-end solution delivery. Qualifications for this role include strong hands-on experience in computer vision, proficiency with deep learning frameworks like PyTorch, TensorFlow, ONNX, experience with pattern recognition, object detection, segmentation, or OCR, familiarity with embedded systems, NVIDIA Jetson, or ARM-based platforms, solid understanding of image processing, linear algebra, and optimization techniques, experience with data annotation tools like LabelImg, CVAT, Roboflow, strong problem-solving and debugging skills, and a Bachelors or Masters degree in Computer Science, AI, or related fields. Bonus qualifications include experience with real-time video processing, GStreamer, or edge model quantization.,
Company Description CogniForge Technologies (CFT) is a boutique AI consulting and product firm specializing in embedded intelligence, smart automation, and real-time edge computing. We help businesses integrate AI into everyday systems to make operations faster, safer, and insight-driven. From factory floors to connected devices, our solutions are built to solve real problems with precision, speed, and measurable impact. Role Description This is a full-time on-site role for a Computer Vision Intern. The position is located in Gurugram. The Computer Vision Intern will be responsible for developing and optimizing computer vision algorithms, implementing machine learning models, and collaborating with team members to integrate AI solutions into various applications. Qualifications Proficiency in Programming Experience in Machining Ability in Teaching and explaining technical concepts Familiarity with computer vision tools and techniques Strong analytical and problem-solving skills Excellent communication and teamwork abilities Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field
Company Description CogniForge Technologies (CFT) is a boutique AI consulting and product firm specializing in embedded intelligence, smart automation, and real-time edge computing. We help businesses bridge the gap between data and decisions by integrating AI into everyday systems, enhancing operations to be faster, safer, and insight-driven. Our solutions address real-world problems with precision, speed, and measurable impact, from factory floors to connected devices. Role Description This is a full-time on-site role for a Computer Vision Engineer located in Gurugram. The Computer Vision Engineer will be responsible for developing and implementing computer vision algorithms, working on pattern recognition and robotics projects, and collaborating with data science and software engineering teams to integrate AI solutions. Additionally, the engineer will be involved in research and development to create innovative solutions in the field of computer vision. Qualifications Skills in Computer Vision and Pattern Recognition Experience in Robotics and developing AI algorithms Background in Computer Science and Data Science Strong analytical and problem-solving skills Excellent written and verbal communication skills Capability to work collaboratively in an on-site team environment Advanced degree in Computer Science, Data Science, or related field is preferred
Overview: We are seeking an experienced hardware engineer to design and prototype a compact electromechanical dispensing mechanism. The project involves creating a reliable single-item feed/dispense system integrated with sensors and control electronics. Key Responsibilities: Design and assemble a motor-driven feed mechanism for consistent single-item dispensing. Select and integrate DC/stepper motors, optical/photoelectric sensors, and control circuitry. Develop basic control logic (Arduino/PLC) and wiring diagrams. Ensure proper isolation for 12–24 V industrial signaling. Test and iterate for speed, accuracy, and reliability. Provide documentation for replication and future scaling. Requirements: Proven experience with embedded hardware prototyping, mechatronics, or industrial automation. Strong knowledge of DC/stepper motors, relays, optocouplers, and PLC/DIO interfaces. Familiarity with Ethernet communication for PC or SCADA integration. Ability to fabricate or guide fabrication of simple frames or mounts. Strong troubleshooting and problem-solving skills. Availability for milestone-based updates and communication. Preferred: Experience with automated dispensing or similar feed mechanisms. Located in Gurgaon, Delhi or Noida or able to ship prototype hardware. Job Types: Contractual / Temporary, Freelance Contract length: 2 months Pay: From ₹10,000.00 per month Work Location: In person