Generative AI & NLP Solutions: Develop and implement innovative solutions using Large Language Models (LLMs) for critical engineering tasks, including document classification, automated text analysis, and efficient information retrieval from vast technical libraries.
Model Evaluation & Assurance: Conduct thorough evaluations and statistical analysis of LLMs and other machine learning models to ensure they meet high standards of performance, reliability, and relevance to engineering requirements (Responsible AI).
Insight Generation & Visualization: Create rapid, impactful visualizations and demos to effectively communicate complex data findings and model outputs to engineering stakeholders .
Prompt Engineering & Workflow: Skillfully craft and refine prompts to maximize the effectiveness and quality of LLM outputs for technical use cases
Upskilling Strategy: Champion continuous professional growth by leveraging the learning ecosystems. Actively participate in the communities to exchange best practices, share knowledge, and foster a culture of collective upskilling in alignment with the broader departmental and Airbus digital strategy.
Knowledge Management - Support team to create/manage Knowledge database and align with Airbus KM goals.
Stakeholder Engagement: Work closely with cross-functional teams (e.g., Design, Certification, Manufacturing) and business stakeholders to understand project requirements and provide analytical support.
Who We Are Looking For
Preferably, possess a Bachelor's or Master's degree in Computer Science
5-8 years of professional experience in digitalization or engineering data science.
Experience in Design of Experiments (DoE) and statistical software (e.g., JMP, Minitab, or Python-based libraries).
Proven track record in developing and deploying Machine Learning models in a physical engineering or manufacturing context.
Proficiency in Python (SciPy, Scikit-learn, TensorFlow/PyTorch) and JavaScript/Apps Script
Capability in building enterprise-level solutions with Google AppSheet and managing Google Cloud/Workspace integrations.
You demonstrate networking skills to collaborate with universities, research centers and external partners.
Strong communication skills .
Candidates who demonstrate prior exposure in Electrical / Mechanical / Aerospace Systems Engineering will have an added advantage.
If your profile matches our requirements and you are interested in joining our dynamic and multicultural team of professionals, you can complete your application online .
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
Experience Level
Professional
Job Family
Digital <JF-IM-DI>
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