Developer - Full Stack

About the role

**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 seeking a versatile, agile, and curious** **Full Stack Developer with Machine Learning knowledge** to join our high\-impact **Computer Vision Team** .

**In this role, you will work at the intersection of web development and applied AI. You will be instrumental in building end\-to\-end Computer Vision applications—ranging from designing responsive user interfaces and robust backend APIs to integrating and optimizing machine learning models.**

**We are looking for a** **fast learner** who thrives in a dynamic environment and is eager to switch context between frontend, backend, or ML model pipelines based on project needs.

**Qualification \& Experience:**

**Education:** Graduate / Post Graduate degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.

**Experience:** 0 to 3 years of hands\-on experience in software development with exposure to machine learning workflows.

**Key Responsibilities**

**Full\-Stack Application Development:** Design, build, and maintain scalable web applications (frontend UI and backend services) to interface with Computer Vision models.

**Computer Vision \& ML Integration:** Assist in training, fine\-tuning, evaluating, and deploying CV algorithms (object detection, image classification, segmentation, tracking) into production workflows.

**Adaptive Task Execution:** Seamlessly shift focus across frontend features, backend API design, or data pipeline/model optimization depending on sprint priorities.

**Data Pipeline \& Preprocessing:** Help prepare, annotate, and manage image/video datasets required for model training and testing.

**Cloud \& Infrastructure:** Leverage cloud platforms (AWS/GCP) to host services, store unstructured visual data, and run inference pipelines.

**Collaboration:** Work closely with senior ML engineers, product managers, and UI/UX designers to translate requirements into functional, high\-performing features.

**Continuous Improvement:** Keep up with the latest tech trends in web frameworks, cloud services, and computer vision techniques to keep our stack modern.

### **Technical Essentials**

* **Backend Development:** Proficiency in Python (FastAPI, Flask, or Django) and building RESTful APIs. * **Frontend Development:** Experience with modern JavaScript frameworks (React, Vue.js, or Angular) and responsive web design (HTML5/CSS3\). * **Computer Vision \& ML:** Solid understanding of basic ML concepts and hands\-on experience with tools like **OpenCV** , **PyTorch** , or **TensorFlow** (handling image/video data). * **Cloud Exposure:** Basic working knowledge or certification in **AWS** (e.g., S3, EC2, Lambda) or **GCP** (e.g., Vertex AI, Cloud Run, GCS). * **Database Management:** Basic proficiency in relational (PostgreSQL, MySQL) or NoSQL (MongoDB) databases. * **Version Control \& Tooling:** Familiarity with **Git** and containerization concepts ( **Docker** ). * **Testing \& Quality Assurance:** Experience with automated testing frameworks (e.g., PyTest for backend, Jest/Cypress for frontend).

### **Soft Skills \& Behavioral Attributes**

* **Fast Learning Curve:** Demonstrated ability to quickly master new technologies, tools, and frameworks. * **Adaptability \& Agility:** Willingness to wear multiple hats—writing frontend code one day and tweaking ML pipelines the next. * **Problem\-Solving Mindset:** Strong logical reasoning, analytical skills, and attention to detail. * **Communication:** Clear written and verbal communication skills to articulate ideas effectively within a team environment.

**Nice\-to\-Have / Added Advantages**

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* **AWS or GCP Cloud certifications (e.g., AWS Certified Cloud Practitioner / Developer, GCP Associate Cloud Engineer).** * **Prior experience with image annotation tools (e.g., CVAT, LabelImg).** * **Exposure to MLOps tools (e.g., MLflow, DVC) or model deployment/quantization (ONNX, TensorRT).** * **Active GitHub profile, Kaggle participation, or personal projects demonstrating end\-to\-end full\-stack or computer vision implementations.** * **AWS services like SageMaker and Step Functions.**

**Success Metrics**

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* **Learning Velocity:** Quick onboarding and rapid capability growth across new tech stacks and tools. * **Versatility \& Speed:** Ability to reliably deliver high\-quality code across both frontend/backend tasks and ML model integration. * **Code Quality \& Reliability:** First\-time\-right approach to building maintainable, scalable, and bug\-free application features. * **Team Impact:** Proactive collaboration and positive participation within the Computer Vision engineering ecosystem.

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:**

Entry Level **Job 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.