Intern - Industrial AI & Edge Computing

Job Description

Job Description:

As an Intern, you will embark on a 6-month project at the forefront of Industry 4.0, bridging the gap between shopfloor data standardization and real-time Artificial Intelligence.This role is a unique, two-phase project:

• Phase 1 : AI for Data Standardization. You will help build an AI-powered "Copilot" tool to assist our Manufacturing Engineers (MEs) in standardizing shopfloor data.
  
• Phase 2 : Edge AI for Real-Time Anomaly Detection. You will use this data-centric knowledge to optimize and deploy advanced Deep Learning (DL) models onto resource-constrained edge hardware for our 2025 strategic projects.
  

Roles and Responsibilities:

• Support the development of a Proof-of-Concept (PoC) "Copilot" tool to assist MEs in mapping raw supplier data to standard OPC UA information models.
  
• Curate and prepare technical documentation from shopfloor tools (drilling, torque, robotics) to be used by an AI semantic search engine.
  
• Validate the recommendations from the AI mapping tool, using your engineering domain knowledge to ensure accuracy and consistency.
  
• Optimize a pre-trained Deep Learning (DL) model (e.g., for drilling anomaly detection) for deployment on edge devices.
  
• Use industrial optimization techniques (e.g., Quantization, Pruning, NVIDIA TensorRT) to make the DL model smaller and faster for real-time shopfloor applications.
  
• Benchmark the optimized model's performance (Latency vs. Accuracy vs. Power Draw) on industrial edge hardware (e.g., NVIDIA Jetson Orin Nano, Industrial PCs).
  
• Produce a final technical report and a working hardware demo that showcases the full "data-to-device" pipeline.
  

Required skills and experience:

• A hands-on, "in-the-lab" mindset with a genuine interest in working with physical hardware and industrial processes.
  
• Strong problem-solving and logical thinking ability.
  
• Familiarity with Python scripting, preferably for data analysis (e.g., NumPy, Pandas).
  
• A foundational understanding of manufacturing processes, industrial data (sensors, signals), or mechatronics.
  
• Familiarity with AI/DL concepts (TensorFlow/PyTorch) is a significant advantage.
  
• Strong communication and presentation skills to document and present findings.
  

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:
Airbus India Private Limited

Employment Type:
Internship
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Experience Level:
Student

Job Family:
Manufacturing Engineering

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