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.

• 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.

• 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.

• 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.
• Entry Level

• Initiate studies and propose innovative solutions.
• Create collaboration topics to improve the process, methods and tools.

Airbus India Private Limited

Internship

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.