Artificial Intelligence Engineer

Eagle Ai Aerospace; Sector 10; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Eagle Ai Aerospace is seeking an AI/embedded computer vision engineer to standardize AI software deployment on UAV platforms. The role involves creating automated tests for AI modules, sensors, and cameras during production, and establishing end-to-end lab-to-manufacturing validation pipelines.

You will contribute to root-cause analysis of production issues, draft testing procedures, and support transfer of AI solutions from R&D to manufacturing with a focus on reliability and performance in

Qualifications

• Proficiency in Python and C++.
• Experience with PyTorch or TensorFlow.
• Experience with YOLO, RT-DETR, Faster R-CNN or equivalent frameworks.
• Knowledge of image classification, feature extraction and visual recognition.
• Experience with object tracking algorithms (e.g., DeepSORT, ByteTrack, BoT-SORT) and Kalman-filter tracking.
• Strong knowledge of OpenCV and image processing.
• Experience with model optimization (ONNX, TensorRT) and inference acceleration.
• Experience deploying AI models on NVIDIA Jetson or equivalent edge computing platforms.
• Familiarity with AI model evaluation metrics (precision, recall, mAP) and tracking accuracy.
• Familiarity with Linux, Git, and real-time software development.

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.

Skills

Python

C++

PyTorch

TensorFlow

Object detection

Image classification

Object tracking

OpenCV

Model optimization

Jetson edge

Education

Bachelor's or Master's in CS/AI or related

Tools

ROS 2

MAVLink

ArduPilot/PX4

Job description

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 benefits

• 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.