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 - Experience Level Student Job Family Manufacturing Engineering By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment This information will only be used by Airbus Airbus is committed to achieving workforce diversity and creating an inclusive working environment We welcome all applications irrespective of social and cultural background age gender disability sexual orientation or religious belief Airbus is and always has been committed to equal opportunities for all As such we will never ask for any type of monetary exchange in the frame of a recruitment process Any impersonation of Airbus to do so should be reported to emsom airbus com At Airbus we support you to work connect and collaborate more easily and flexibly Wherever possible we foster flexible working arrangements to stimulate cutting-edge thinking

📌 Intern - Industrial Ai & Edge Computing (Karnataka)
🏢 Airbus
📍 Karnataka