0 - 2 years

0 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Internship

Job Description

  • 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 Bachelors or Masters 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.

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