Artificial Intelligence Engineer

Digital Assets & Transformation Solutions LLP (DATS) specializes in designing and developing advanced solutions for Tolling, Parking, Traffic Management, and Connected Intelligent Transportation Systems (ITS). Based in Vijayawada, Andhra Pradesh, India, DATS focuses on innovative technologies that enhance transportation efficiency and enable smarter mobility. The company is dedicated to producing cutting-edge systems that address modern infrastructure challenges. DATS values technical excellence and forward-thinking to drive impactful transformations in the transportation sector.

This is a full-time, on-site role for a Computer Vision Engineer located in Vijayawada. The engineer will be responsible for developing and deploying AI-powered video analytics solutions using CCTV infrastructure.

Day-to-day tasks include working with RTSP camera streams, building real-time video processing pipelines, and deploying optimized computer vision models on edge devices such as NVIDIA Orin Nano. The role involves developing systems for vehicle detection, traffic monitoring, and incident analysis, along with ensuring reliable performance in real-world environments. Collaboration with cross-functional teams to integrate edge AI solutions into ITS platforms is a key component of this role.

• Strong expertise in Computer Vision with hands-on experience in video analytics
• Experience working with CCTV systems and RTSP video streams
• Proficiency in OpenCV for real-time video processing
• Experience deploying AI models on edge devices, preferably NVIDIA Orin Nano / Jetson platforms
• Familiarity with TensorFlow / TensorRT / PyTorch for model development and optimization
• Experience in building and optimizing real-time, low-latency inference pipelines
• Understanding of video streaming protocols, encoding/decoding, and pipeline optimization
• Strong foundation in Computer Science principles and software development
• Strong problem-solving skills and ability to handle real-world deployment challenges
• Ability to work collaboratively in a team and effectively communicate technical concepts