DR MGR ARI NAVAL AND AEROSPACE INNOVATION LLP

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…

drmgrnavalaerospace.com

DR MGR ARI NAVAL AND AEROSPACE INNOVATION LLP

drmgrnavalaerospace.com

HQChennai, IN

Team Size14

Open Jobs6

Total Funding-

Latest FundraiseUnknown

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Embedded Engineer

On-SiteTamil Nadu, IN

On-Site • Tamil Nadu, IN

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Company Description

DR MGR ARI Naval and Aerospace Innovation LLP, funded by DR MGR Educational and Research Institute, is a premier research start-up dedicated to solving critical challenges in the naval and aerospace sectors using innovative technologies. The organization emphasizes intensive research and development, transitioning from problem-statement design to product implementation with proof of development. Their key focus lies in creating multi-purpose drone technology, ranging from 5kg to 100kg payloads, as well as developing autonomous systems like Remotely Operated Surface Vehicles (RSVs), Autonomous Surface Vehicles, and Autonomous Underwater Vehicles (AUVs). The organization is driven by a mission to solve challenging problems in agriculture and defense through breakthroughs in drone technology while advancing niche technologies in AI, IoT, and related fields.

Role Description

We are seeking a highly motivated Artificial Intelligence Engineer for a full-time, on-site role located in Tamil Nadu, India. The engineer will work on cutting-edge research and development projects in the domains of naval and aerospace innovation. Responsibilities include creating and optimizing AI models for applications such as pattern recognition and natural language processing (NLP), developing and implementing neural networks, collaborating on advanced software development, and contributing to drone and autonomous vehicle technologies. The role requires hands-on involvement in every phase, from conceptual problem-solving to product realization.

Qualifications

Expertise in Artificial Intelligence fields such as Pattern Recognition, Neural Networks, and Natural Language Processing (NLP)
Strong background in Computer Science with skills in Software Development
Proficiency in designing and optimizing AI-driven models and algorithms
Ability to collaborate effectively in a fast-paced, research-focused environment
Experience in working with drone, robotics, or autonomous systems technology is highly desirable
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Strong analytical, problem-solving, and team-working skills