AI Engineer - Technical Lead

• Lead and mentor a team of AI engineers and researchers in delivering high-quality solutions
• Foster a culture of innovation, collaboration, and technical excellence
• Work closely with stakeholders to define requirements, timelines, and deliverables
• Design and develop advanced machine learning and computer vision algorithms for industrial use cases
• Implement solutions involving object detection, segmentation, tracking, and recognition
• Oversee data collection, preprocessing, and feature engineering pipelines
• Drive research initiatives and integrate emerging AI technologies into production systems
• Optimize and deploy AI models on edge devices such as NVIDIA Jetson (Orin/Nano), Raspberry Pi, and GPU-based platforms
• Configure edge systems for real-time AI inference and production readiness
• Design and prototype electronic systems for AI model integration
• Integrate Machine Vision Cameras & Lenses suitable for specific use cases
• Troubleshoot and optimize hardware–software integration and system performance
• Perform testing and validation to ensure model accuracy, robustness, and reliability
• Document workflows, experiments, models, and system designs
• Ensure compliance with industry standards and best practices in AI and electronics

• Bachelor’s or Master’s degree in Computer Science, ECE, or related fields
• Strong proficiency in Python with libraries such as TensorFlow, PyTorch, OpenCV, Scikit-learn
• Solid understanding of deep learning concepts, optimization techniques, and transfer learning
• Hands-on expertise in Computer Vision (Detection, Segmentation, Tracking, Recognition)
• Experience with Edge AI deployment and optimization on Jetson and GPU-based devices
• Proficiency in electronics prototyping and AI hardware integration
• Experience integrating Machine Vision cameras & lenses
• Working knowledge of RTSP, TCP/IP, Modbus, UART, MQTT
• Experience in Mobile SDK / Framework development and delivering integrated applications
• Hands-on experience with Arduino, Raspberry Pi, servos, relays, motor drivers, Ethernet switches
• Strong analytical and problem-solving skills
• Proven experience leading technical teams and delivering end-to-end projects

• Experience with model quantization, multitask learning, zero-shot fine-tuning
• Exposure to cloud-based AI platforms (AWS, Azure, GCP)
• Experience handling Industrial and Bullet cameras
• Knowledge of OCR and multimodal LLMs
• API and backend development experience using FastAPI, Django, Nginx
• Familiarity with Android Studio and mobile AI applications
• Knowledge of CUDA programming

Opportunity to work on cutting-edge AI, vision, and edge-computing solutions