AI Engineer Intern

Responsibilities:

• Collaborate with AI engineers and data scientists to design, develop, and implement AI models and algorithms.
• Participate in data collection, preprocessing, and augmentation to ensure high-quality datasets for training and validation.
• Assist in the experimentation and evaluation of various machine learning algorithms to achieve optimal performance metrics.
• Collaborate with the team to document technical specifications, user guides, and best practices for AI development and deployment.
• Participate in team meetings, brainstorming sessions, and knowledge-sharing activities to foster a culture of continuous learning and improvement.
• Assist in troubleshooting and debugging AI-related issues in collaboration with the broader engineering team.
• Embrace a proactive and flexible approach, taking on additional tasks and responsibilities as needed to support the team and meet project goals.

Qualification/Requirements:

• Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field.
• Strong foundation in machine learning, deep learning, and AI concepts.
• Practical experience with programming languages such as Python and C++, and familiarity with popular libraries (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and the ability to think critically about complex technical challenges.
• Effective communication skills, both written and verbal, with the ability to work well in a team environment.
• Passion for AI and a demonstrated willingness to learn and explore new technologies.
• Previous coursework, projects, or internships related to AI, machine learning, or data science is a plus.
• A strong portfolio showcasing personal or academic AI projects is highly desirable.

Skills

TensorFlow, Machine Learning, Troubleshooting, Experimentation, Video Analytics, Rollout, Keras, PyTorch, Python, Data Science, Debugging, GitHub, Software Development, C++