Job Description:

An opportunity has arisen in Airbus Customer Services, to join Technical Data Support & Services - India, which is in charge of developing, delivering and supporting on aircraft maintenance documentation, to enable the safe and efficient operations and maintenance by our customers (airlines, MRO, lessors).

Technical Data is organized in 5 cross-natco Domains and 5 local lines and the position is opened in India local line - IISBD. The position is functionally aligned with SIDB Domain which offers a wide view on Maintenance Documentation: From the Design Office who is at the origin of the design and evolution of aircraft design, to the Authoring Domains in charge of documenting their impact in Technical Data products (manuals), and to the support to our customers who are operating and maintaining aircraft Systems. Delivering the complete documentation at aircraft entry into service and maintaining it during the complete aircraft life cycle is our main mission, and is part of the airworthiness requirements.

Please visit us https://sites.google.com/airbus.com/sid/home to know more about us.

Additionally, an important mission is to prepare for the future (process automation, development of solution & technologies to bring significant efficiency) in the frame of Customer Services Ambition 2030 (Efficient TechData cornerstone). To augment and accelerate this mission, we are looking for a skilled and motivated Artificial Intelligence Engineer to join our team. This role offers a unique opportunity to work at the intersection of knowledge representation and machine learning. You will be responsible for developing our advanced, logically-driven databases while also contributing to the creation of end-to-end AI and Generative AI project pipelines. The ideal candidate is a hands-on developer with a passion for building intelligent systems that combine structured knowledge with modern predictive models.

Key Responsibilities

Knowledge Systems & Database Development:

Design and implement advanced logical databases using frameworks like TypeDB, Neo4j, or Datalog.
Develop and maintain robust knowledge graph systems to host complex, interconnected data.
Build intuitive GUI frontends for our databases to enable effective data interaction and exploration.
Collaborate with data analysts to translate data requirements into effective data models.

Machine Learning & AI Pipeline Development:

Contribute to the architecture and development of end-to-end ML and GenAI pipelines, from data ingestion to model deployment.
Build, train, and deploy machine learning models, including work with Large Language Models (LLMs) and techniques like Retrieval-Augmented Generation (RAG).
Integrate ML models with our core knowledge bases to create powerful, hybrid AI systems.
Participate in the entire lifecycle of AI projects, ensuring they are scalable and aligned with business goals.

Required Qualifications & Competencies

Bachelor's and / or Master's Degree in Computer Science Engineering, with 4-8 years of professional experience in a software engineering or data-focused role.
Solid Experience in Database Development: Demonstrable experience building and managing databases, with a strong preference for knowledge graphs (TypeDB, Neo4j) or logical databases (Datalog).
Proficiency in Knowledge Representation: A good understanding of knowledge representation principles.
Experience with ML Pipelines: Hands-on experience developing components of machine learning pipelines using Python and relevant frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Familiarity with Generative AI: Understanding of GenAI concepts, including LLMs and vector databases.
Full-Stack Capability: Ability to contribute to development across the stack, from the database backend to the GUI frontend.

Preferred Qualifications

Exposure to digital transformation in the aerospace / automotive industry will be an added advantage.
Familiarity with expert systems or Hierarchical Task Networks (HTN).
Experience with MLOps tools (e.g., MLflow, Kubeflow) or cloud AI platforms
A portfolio of projects that showcases your skills in database development and machine learning.

. Professional and technical skills

Excellent communication/presentation skills, both oral and written, with advanced knowledge in profession / technical English language.
Good coordination and relational skills to deal with internal and external stakeholders
Ability to learn and adapt with evolving technologies.
LEAN tools and methodologies - Value Stream Mapping, Problem solving and Improvements

b. Behavioral skills

Proactive mindset with a focus on customer satisfaction
Analytical thinking and problem solving skills
Assertiveness in communication style
Good team player with organizational skills - ability to work with local and transnational team members
Customer mindset
Collaborative attitude
Organized, engaged, adaptable and flexible
Curious, enthusiastic & open-minded

Job Disclaimer & Notifications:

We bring to the notice of all concerned that Airbus India Pvt. Ltd (hereinafter referred to as AIPL) follows a fair and merit-based employee selection and recruitment practice.

Airbus India Private Limited does not:

.Send job offers from free email services including but not limited to Gmail, Rediffmail, Yahoo mail, Hotmail and others

.Authorize anyone to either collect money or arrive at any monetary arrangement in return for a job at AIPL

. Charge / accept any form of consideration or security deposit from job seekers and applicants during any stage of the selection and/ or recruitment process

Request for your credit card number or bank account number

It has come to our attention that fake job offers under the aegis of Airbus India or Airbus India Pvt. Ltd. have been circulated by unauthorized personnel. On receipt of an interview call for any job at AIPL, the candidate may take some measures such as visiting the official website or career site of Airbus to get the contact details to enquire with the Human Resources department of Airbus India regarding such jobs and/or the interview details and any other relevant information

For further information on Airbus India Careers, please click here. Please check www.airbus.com to get the contact details and enquire with the company to confirm if any information that you have received is genuine do not respond to any fraudulent communication. AIPL will not be responsible to anyone acting on an employment offer not directly made by Airbus India Pvt Ltd. anyone making an employment offer in return for money or other type of gain is not authorized by AIPL and is not offering an approved job. AIPL reserves the right to take legal action, including criminal action, against such individuals/entities

..Airbus is proud to be an equal opportunity employer and is committed to creating an inclusive and diverse work environment. AIPL selects job applicants (internal and external) on the basis of suitability for the job, and irrespective of gender, marital status, age, sexual orientation, gender identity or expression, nationality, religion, ethnicity or differently abled/ (dis)ability.

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:

Permanent

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Experience Level:

Professional

Job Family:

Technical Data & Publications

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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.

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.

Tech Data Automation Specialist - Knowledge Systems & Machine Learning