Internship - Industrialisation

Airbus; Bengaluru; On-site; INR 223,000 - 335,000; Part time

Job summary

Airbus India Private Limited is seeking an Internship focused on data modeling and AI engineering. You will design scalable data products, implement cloud-based architectures, and ensure data governance while collaborating with cross-functional teams to deliver Digital Transformation initiatives in a dynamic IT environment.

Candidates should have a strong foundation in Python, data management on cloud platforms, and familiarity with ML/AI tooling.

Qualifications

• Experience in structuring and maintaining complex data systems for multi-disciplinary teams.
• Proficient in Python and AI libraries; knowledge of other languages like C++ is an asset.
• Cloud data platforms (GCP/AWS/Azure) and data lakes/warehouses; strong SQL/NoSQL skills.
• Deployment experience with Docker, CI/CD and MLOps principles.
• Experience with Git/GitLab in Agile environments.
• Gathering and managing complex stakeholder requirements for data products and AI solutions.

Responsibilities

• Design and implement scalable data products and modern cloud-based data architecture.
• Develop, train, and deploy AI/ML/LLM models to extract insights and drive optimization.
• Full-stack development for data visualization and user-facing applications.
• Integrate with Skywise platform for data ingestion, analytics, and service development.
• Manage and organize data systems for multi-disciplinary teams from start to finish.

Skills

Python

Data Modeling

APIs & Integration

Agile mindset

Communication

Education

B.Tech./B.E. in relevant field

Tools

Docker

CI/CD Pipelines

Git/GitLab

MLOps

Job description

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

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 [e-mail].

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.

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.