Job Description:
Description:
At Airbus, we are harnessing the power of artificial intelligence to enhance efficiency and quality across our value chain. Our team is composed of technologists and business leaders dedicated to innovation and excellence.
We are looking for an experienced, hands-on Data Scientist (Computer Vision) to lead the end-to-end development of vision-based AI solutions. In this role, you will bridge the gap between complex business challenges and cutting-edge Computer Vision technologies.
You will take full ownership of the CV lifecycle—from defining annotation strategies and curated dataset pipelines, to architecting state-of-the-art deep learning models, deploying them to cloud infrastructure, and measuring their real-world business impact. You will also collaborate closely with cross-functional business stakeholders and guide junior/full-stack developers in building scalable AI systems.
Qualification & Experience:
Education: Master’s or Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related quantitative field.




Experience: 5+ years of hands-on experience in Data Science and Machine Learning, with at least 3+ years dedicated specifically to solving Computer Vision applications in production settings.
Key Responsibilities
End-to-End Model Lifecycle Development: Design, build, train, evaluate, and optimize custom Computer Vision models (classification, object detection, segmentation, tracking, OCR, visual inspection) from concept to production.
Data Pipeline & Annotation Strategy: Establish data collection, cleaning, and labeling pipelines; evaluate and leverage annotation platforms (e.g., CVAT, Labelbox); define guidelines to ensure high-quality training datasets.
Business Problem Translation: Partner directly with business leaders and product teams to translate ambiguous business requirements into practical, well-scoped Computer Vision problems with transparent KPIs.
Cloud Architecture & Deployment: Ar

📌 Data Scientist (Bengaluru)
🏢 Airbus
📍 Bengaluru