Role: AI Engineer (Internship)
Year: 2026
Qualification: Bachelors
Experience (years): 0
Job description:
- Foundational knowledge of AI/ML concepts such as supervised and unsupervised learning, model evaluation, and basic statistics.
- Proficiency in at least one programming language commonly used in AI (e.g., Python) and familiarity with version control tools (e.g., Git).
- Exposure to machine learning or deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), even at a project or coursework level.
- Ability to work with data: basic data cleaning, preprocessing, and visualization skills using tools such as NumPy, pandas, or similar libraries.
- Strong analytical and problem-solving skills, with the ability to learn new tools and techniques quickly in a research-oriented environment.
- Transparent written and verbal communication skills and the ability to collaborate effectively in a remote, distributed team.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
- Interest in XR, AI applications for interactive environments, and emerging technologies; prior personal or academic projects in these areas are a plus.
- Familiarity with basic software development practices, including debugging, testing, and documenting code.
- Self-motivated, organized, and able to manage time effectively in a fully remote internship setting. 
Technical skills: Python, ML, TensorFlow/PyTorch, Scikit-Learn, Git, Github, Pandas, NumPy, MLOps
Soft skills: Communication, Problem Solving