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Computer Vision Engineer to develop and deploy AI-powered computer vision models using Convolutional Neural Networks (CNNs) and unsupervised learning techniques. The ideal candidate will have expertise in designing and training camera-based AI models for various applications.
Roles & Responsibilities· Spearhead the development of high-performance, real-time computer vision algorithms for autonomous gun turret platforms, with emphasis on aerial threat detection, multi-object tracking, and dynamic classification of drones.· Architect and fine-tune deep learning models optimized for deployment on edge computing platforms with stringent resource constraints, ensuring minimal latency and maximal inference accuracy.· Collaborate cross-functionally with electrical and embedded systems engineers to seamlessly integrate vision modules into custom hardware architectures, including FPGA and SoC-based systems.· Design and execute rigorous validation protocols using synthetic and real-world datasets to benchmark algorithmic performance under diverse environmental and operational conditions.· Provide technical leadership and mentorship to junior engineers, fostering domain expertise in AI-driven perception systems and scalable machine learning pipelines.· Drive the maturation of prototype vision systems into production-ready, defense-grade solutions, supporting modular adaptations for varied weapon platforms, engagement distances, and mission profiles.· Design, develop, and deploy computer vision models using CNNs and unsupervised learning techniques.· Work with camera-based datasets to train and fine-tune models for specific applications.· Implement and optimize algorithms for object detection, tracking, and classification.
Technical: Programming Languages - Python, C++ML Frameworks - TensorFlow, PyTorch Embedded Systems - Integration & optimization Sensor Technologies - Cameras, LIDAR, RADAR Real-Time Systems- Algorithm deployment & tuning Hardware Integration - Embedded vision systems
Skillsets:· Strong analytical and problem-solving abilities in computer vision and robotics.· Ability to work in high-stakes, mission-critical environments with attention to detail.· Knowledge of computer vision libraries (e.g., OpenCV, YOLO).Functional:· Machine Learning & Computer Vision: End-to-end development and deployment of ML-based vision systems.· Robotics: Experience with autonomous systems and sensor fusion.· System Integration: Hardware-software co-design and embedded deployment.· Defense Applications: Understanding of military-grade system requirements and operational constraints.
Job Type: Full-time
Pay: Up to ₹1,200,000.00 per year
Benefits:
Work Location: In person
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