Job Description:
Job Description
Role Description:
At Airbus, we harness the power of Data & Artificial Intelligence to enhance efficiency and quality across our value chain.
Apprenticeship in the Digital Makers team is dedicated to building robust, scalable, and trustworthy Fullstack Applications with AI capabilities, solving complex challenges in Data Analytics, Computer Vision, Natural Language Processing (NLP), and Operational Research.
The successful candidate will gain hands-on experience in the end-to-end lifecycle of AI and data products.
Qualification & Experience:
We seek out curious minds. We value attention to detail, and we care deeply about outcomes. We’re looking above any for passionate people, eager to learn, willing to share, establishing innovative ways of working and influencing culture change.
Are you ready to share this exciting challenge with us?
Post-graduate with a degree in Computer Science, Data Science, Mathematics, Engineering, or related fields
Skills
Knowledge of SQL and working with databases
Proficiency in Python programming
Understanding of machine learning algorithms (supervised/unsupervised) and deep learning
Experience/Familiarity with libraries such as scikit-learn , tensorflow or pytorch
Experience to version control tools like Github
Experience/Understanding of the various SOTA (State-Of-The-Art) techniques available in specific topics related to Computer Vision
Data Exploration: Cleaning, preprocessing, and transforming large datasets to prepare them for model training or analysis
Extracting meaningful insights from structured and unstructured data using statistical and analytical techniques
Some experience with React.js, JavaScript (ES6+), and Python (not mandatory).
Basic understanding of front-end development with HTML5 and CSS3.
Familiarity with web frameworks like Flask, FastAPI, or Django is a plus.
Interest in learning cloud technologies, specifically AWS.
Basic understanding of RESTful APIs.
Familiarity with Git for version control.
A strong desire to learn, excellent problem-solving skills, and the ability to work in a team.
Others
Knowledge of Generative AI (LLMs, Prompt Engineering).
Project experience with Object Tracking using Computer Vision
Basics of DevOps (Docker, Kubernetes)
Exposure to cloud platforms like AWS or GCP
Experience with TypeScript.
Knowledge of containerization with Docker.
Experience with any state management library (e.g., Redux, Zustand).
Contributions to personal or school projects
Responsibilities:
Assist in building and improving machine learning models for various applications
Work with datasets, cleaning, preprocessing, and transforming data to train models
Implement SOTA deep learning algorithms to solve various Computer vision problems
Collaborate with senior engineers and data scientists to optimize model performance and deploy the model as an endpoint or batch job
Conduct experiments and analyze the performance of models using open source datasets and benchmark on Airbus specific data
Create data visualizations and reports to communicate insights and results effectively
Excellent Communication skills- good interpersonal and influencing skills.
What We Offer
Real-world experience working on high-impact projects
Mentorship from experienced industry experts and data scientists
Access to cutting-edge tools and a collaborative work environment
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 LimitedEmployment Type:
Apprenticeship-------
Experience Level:
Entry LevelJob Family:
Digital <JF-IM-DI>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 emsom@airbus.com.
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.