Roles & Responsibilities:
Collaborate with manufacturing and production engineering teams to standardize AI software installation and configuration.
Develop automated test utilities to verify AI computing modules, cameras, sensors, and software functionality during production.
Establish end-of-line testing procedures for AI-enabled drone subsystems.
Support root-cause analysis of production failures involving AI software, sensor integration, and computing hardware.
Assist in preparing production test procedures, inspection checklists, work instructions, and troubleshooting guides.
Support pilot production, product qualification, design validation, and transfer of AI solutions from R&D; to manufacturing.
Work with quality assurance teams to track defects, improve first-pass yield, and reduce recurring integration issues.

Required Technical Skills:
Strong profi ciency in Python and C++.
Hands-on experience with PyTorch or TensorFlow.
Experience with object detection architectures such as YOLO, RT-DETR, Faster R-CNN, or equivalent frameworks.
Practical understanding of image classifi cation, feature extraction, and visual recognition.
Experience with object tracking algorithms such as DeepSORT, ByteTrack, BoT-SORT, and Kalman-fi lter-based tracking.




Strong knowledge of OpenCV and digital image processing.
Experience with model optimization using ONNX, TensorRT, quantization, and inference acceleration.
Experience deploying AI models on NVIDIA Jetson or equivalent edge computing platforms.
Knowledge of AI model evaluation metrics, including precision, recall, mAP, and tracking accuracy.
Familiarity with Linux, Git, and real-time software development.

Preferred candidate profile

Bachelor's or Master's degree in Computer Science, AI or related discipline.
Previous experience developing computer vision systems for UAVs, robotics, or autonomous vehicles.
Familiarity with ROS 2, MAVLink, and ArduPilot/PX4 integration.
Experience developing robust AI models for resource-constrained embedded systems.

Perks and advantages
Market-market-competitive salary based on qualifications, experience, and technical expertise.
Performance-based annual increments and salary reviews.
Performance incentives linked to project milestones and individual contributions, where applicable.
Project completion bonuses or special recognition for exceptional contributions, subject to company policy.
Statutory benefits as applicable under prevailing laws.

📌 Artificial Intelligence Engineer Noida (India)
🏢 Eagle Ai Aerospace
📍 India