About the Role
We are looking for a passionate and curious AI/ML Intern to join our team. You will work closely with our engineering and data teams to support the development of advanced AI models and contribute to impactful projects in the EdTech space. This internship is a great opportunity to gain hands-on experience with machine learning, data analytics, and generative AI technologies in a real-world setting.
Responsibilities
- Support the design and development of AI and ML models aligned with organizational goals.
- Assist in utilizing open-source ML/AI libraries for building and experimenting with models.
- Work with data pipelines: cleaning, preprocessing, and validating data quality.
- Contribute to data analysis and visualization for insights into system performance.
- Help identify patterns in data distributions that affect real-world model accuracy.
- Stay updated on emerging AI/ML trends and contribute to improving existing frameworks.
- Collaborate with cross-functional teams on experiments and proof-of-concepts.
Requirements
- Pursuing a Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or a related field.
- Strong foundation in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
- Knowledge of Machine Learning concepts (supervised/unsupervised learning, NLP basics).
- Exposure to FastAPI or other web frameworks is a plus.
- Interest in Generative AI (GPT, TTS, Text-to-Video, etc.).
- Familiarity with cloud tools (AWS), Docker, or Kubernetes is an advantage but not mandatory.
- Eagerness to learn, experiment, and solve real-world challenges.
What Youll Gain
- Hands-on experience in building and deploying AI models.
- Exposure to the EdTech industry and its applications of AI/ML.
- Mentorship from experienced engineers and data scientists.
- Opportunity to work on cutting-edge projects with practical business impact.
