Intern - Full stack Software Engineer with AI/ML job opportunity at Airbus SE.

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DateMore Than 30 Days Ago bot
Airbus SE Intern - Full stack Software Engineer with AI/ML
Experience: General
Pattern: full-time
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degreeBachelor's (B.A.)
loacation Bangalore Area, India
loacation Bangalore Area....India

Job Description: Intern - Full Stack Software Engineer with AI/ML Company:** Airbus India Private Limited --- Job Summary Airbus India Private Limited is seeking a highly motivated and talented Full Stack Software Engineer Intern with a passion for AI/ML to join our innovative team. This internship offers a unique opportunity to contribute to cutting-edge projects, gaining hands-on experience in developing robust software solutions across the entire stack, while also exploring and applying advanced AI/ML techniques to real-world aerospace challenges. Job Responsibilities * Collaborate with experienced engineers to design, develop, test, and deploy full-stack software applications, including both front-end and back-end components. * Participate in the entire software development lifecycle, from requirements gathering and analysis to deployment and maintenance. * Assist in the research, implementation, and integration of AI/ML models and algorithms into existing and new software solutions. * Develop and maintain APIs and microservices for various applications. * Contribute to database design and management, ensuring data integrity and efficient access. * Write clean, well-documented, and efficient code following best practices. * Troubleshoot and debug software issues, ensuring high-quality and reliable applications. * Actively participate in code reviews, stand-ups, and team meetings. * Stay up-to-date with emerging technologies and industry trends in full-stack development and AI/ML. Job Qualifications * Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field. * Strong foundational understanding of full-stack development principles. * Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript, C++). * Familiarity with front-end frameworks (e.g., React, Angular, Vue.js) and/or back-end frameworks (e.g., Node.js, Spring Boot, Django, Flask). * Basic understanding of relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB). * Exposure to or basic understanding of machine learning concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). * Knowledge of version control systems (e.g., Git). * Excellent problem-solving skills and a strong analytical mindset. * Ability to work independently and collaboratively in a fast-paced environment. * Strong communication and interpersonal skills. * Prior internship experience or personal projects demonstrating full-stack development or AI/ML application is a plus. 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: Internship ------- Experience Level: Student 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.

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