Internship - Industrialisation

Job Description: Duration : 6 Months

Data Modeling & AI Engineer Focus: IT/Cloud Layer: Design and implement scalable data products and modern cloud-based data architecture, ensuring robust data governance and quality. Creating, automating, and maintaining complex data models across enterprise and cloud platforms to support Digital Transformation. Developing, training, and deploying AI/ML/LLM models to extract insights and drive process optimization. Full-stack development to build and maintain data visualization and user-facing applications. Leverage and integrate with the Skywise platform for data ingestion, analytics, and service development. Managing and organizing data systems for multi-disciplinary teams from start to finish. Required skills and experience: Data Management Engineering: Experience in structuring, managing, and maintaining complex data systems for multi-disciplinary teams. Programming : Proficient in Python (high priority for data science/AI) and associated data/AI libraries. Knowledge of other languages like C++ is an asset. Strong OOPs understanding. Data Management : Expertise in cloud data platforms (GCP/AWS/Azure), big data technologies, and building data lakes/warehouses. Strong database development experience (SQL/NoSQL). Software Architecture : Deployment experience (Docker, CI/CD Pipelines, Maintenance). Experience with MLOps principles. Version Control & Collaboration: Experienced with Git/GitLab , working in Agile environments. Requirements Management: Skilled in gathering and managing complex stakeholder requirements for data products and AI solutions. Agile Experience: Comfortable working in Agile teams, iterating on data and system models. Connectivity Concepts : Highly proficient in API integration , microservices architecture, HTTP methods, and full-stack client-server communication for data product delivery. Communication Skills : Clear communicator, able to convey complex technical concepts to diverse audiences. Adaptability: Quick learner, able to apply new skills in dynamic environments. Allied Activities: Initiate studies and propose innovative solutions. Create collaboration topics to improve the process, methods and tools. SOFT SKILLS: Ability to work independently and in a team in a transnational environment. Assertive communication and interpersonal skills. Willingness to learn new skills, self-development. Ability to work in multiple projects and drive innovation initiatives. Strong problem solving and logical thinking ability. EDUCATION:

B.Tech. / B.E. / M.Tech. / M.E. in Mechanical/Industrial/Aerospace/Electrical

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: Entry Level Job Family: Manufacturing Engineering

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At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.