
DR MGR ARI Naval and Aerospace Innovation develops drones and autonomous vehicles to address naval and aerospace challenges. It builds multi-payload drones (5 kg to 100 kg) and autonomous surface and underwater vehicles. Technologies include AI, IoT, and remote operation, with applications in defense, surveillance, agriculture, and high-end sensing. The company operates as a B2B technology and R&D firm focused on problem-to-product development for national security and industrial use.

DR MGR ARI Naval and Aerospace Innovation develops drones and autonomous vehicles to address naval and aerospace challenges. It builds multi-payload drones (5 kg to 100 kg) and autonomous surface and underwater vehicles. Technologies include AI, IoT, and remote operation, with applications in defense, surveillance, agriculture, and high-end sensing. The company operates as a B2B technology and R&D firm focused on problem-to-product development for national security and industrial use.
Company Description
DR MGR ARI Naval and Aerospace Innovation LLP, funded by DR MGR Educational and Research Institute, is a premier research startup focused on solving critical problems in the naval and aerospace sectors through innovative technologies. The company emphasizes end-to-end R&D, from problem-statement design to product development and proof of concept. With expertise in multipurpose drone technology, autonomous vehicles, and remotely operated systems, the organization targets applications in agriculture, precision farming, armed services, and high-end surveillance. Our mission is to create knowledge and drive nation-building through breakthrough research, while our vision is to develop cutting-edge technologies in drones, AI, and IoT.
Role Description
This is a full-time, on-site position for an Artificial Intelligence Engineer based in Tamil Nadu, India. The Artificial Intelligence Engineer will be tasked with developing, implementing, and optimizing AI systems that address complex challenges in the aerospace and naval domains. Day-to-day responsibilities include working on pattern recognition systems, designing neural network models, developing software, and advancing natural language processing solutions. The role also involves collaboration across interdisciplinary teams to ensure technology alignment with organizational goals.
Qualifications