AI Developer - Intern

Engineering - Software & QA 7 months ago
Employment Information

Job description

As an AI Developer Intern, you will work alongside our experienced AI and engineering teams, contributing to the development and enhancement of our AI-driven products. You ll engage in hands-on projects, apply your theoretical knowledge, and gain practical experience that aligns with our business objectives and technology goals.

 

Key Responsibilities:

  • Assist in the development and implementation of AI models and algorithms.

  • Collaborate with cross-functional teams to integrate AI solutions into our products.

  • Conduct data analysis and preprocessing to prepare datasets for model training.

  • Participate in the design and execution of experiments to test and validate AI models.

  • Assist in the deployment and monitoring of AI models in production environments.

  • Stay updated on the latest AI trends, research, and technologies to inform your work.

  • Contribute to the documentation of AI models, methodologies, and processes.

  • Engage in continuous learning and skill development to enhance your AI expertise.

 

Required Skills and Qualifications:

  • Current enrollment in a Bachelors or Masters program in Computer Science, Artificial Intelligence, Data Science, or a related field at IIT.

  • Strong foundation in AI and machine learning concepts, algorithms, and techniques.

  • Proficiency in programming languages such as Python, R, or similar.

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

  • Passion for AI and a desire to learn and grow in a dynamic environment.

 

Preferred Qualifications:

  • Experience with data preprocessing, feature engineering, and model evaluation.

  • Familiarity with AI tools and platforms such as Google AI, Azure AI, or AWS AI.

  • Previous experience with projects or internships in AI or related fields.

  • Knowledge of natural language processing, computer vision, or reinforcement learning.

Skills
Software Development Life Cycle (SDLC) Programming Languages (e.g., Java, Python, C++) Software Testing (Manual & Automated) Quality Assurance Processes Debugging & Troubleshooting Test Automation Tools (e.g., Selenium, QTP)
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