AI IT Intern
Job Summary
The AI/IT Intern will support the technology team in developing, testing, and maintaining systems, while assisting in various AI-related initiatives. This role provides hands-on exposure to software development, data analysis, and emerging AI technologies within a real business environment. It is an excellent opportunity for students to gain practical experience over a 3–6 month duration.
Responsibilities
- Develop, test, and debug software applications
- Support AI/ML data preparation and model training
- Maintain IT systems and troubleshoot issues
- Perform database management and data analysis
Required Skills
- Proficiency in Python, SQL, or Java
- Understanding of AI/ML concepts and libraries
- Knowledge of data structures and algorithms
- Analytical and problem-solving skills
Job Details
Key Responsibilities
- Assist in developing, testing, and debugging software applications.
- Support AI/ML projects such as data preparation, model training, and evaluation.
- Conduct research on AI tools, trends, and technologies.
- Help maintain IT systems, networks, and troubleshooting issues.
- Assist in database management and data analysis tasks.
- Document technical processes, system configurations, and user guides.
- Support automation initiatives to improve operational efficiency.
- Collaborate with cross-functional teams on tech-related projects.
Requirements
- Currently pursuing a Diploma/Degree in Computer Science, IT, Data Science, AI, or related field.
- Strong interest in AI, technology, and innovation.
- Proactive attitude with eagerness to learn.
- Basic understanding of programming languages (e.g., Python, Java, or JavaScript).
- Familiarity with AI/ML concepts (e.g., data models, algorithms, basic statistics).
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Attention to detail and willingness to learn.
- Ability to manage multiple tasks and meet deadlines.
- Knowledge of Python, SQL, or other programming languages.
- Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) is an advantage.
- Basic understanding of data structures and algorithms.
- Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Understanding of databases and data visualization tools is beneficial.