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

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Experience Level:

Entry Level

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 [email protected].

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.

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