We are seeking enthusiastic interns interested in Artificial Intelligence and Machine Learning. This opportunity offers hands-on exposure to working with datasets, building models, and exploring real-world AI applications. The following sections describe the role, core responsibilities, and the candidate profile needed to contribute effectively and learn on the job. You'll also document results and share learnings with the team.
Role and Responsibilities
You will get practical, hands-on exposure to core AI/ML activities and real-world projects. Primary responsibilities include:
- Work on data collection, cleaning, and preprocessing.
- Assist in building and testing ML models.
- Explore AI/ML frameworks such as Scikit-learn, TensorFlow, PyTorch, etc.
- Document results and share learnings with the team.
Requirements and Candidate Profile
The internship is suited for candidates who meet the following requirements and are ready to engage with the responsibilities above:
- Basic knowledge of Python and ML libraries.
- Understanding of machine learning concepts.
- Problem-solving and analytical skills.
- Eagerness to learn and explore AI/ML.
Meeting these requirements enables you to contribute to data workflows, support model development and testing, and effectively document and communicate results within the team.
Conclusion: This internship offers a focused path into Artificial Intelligence and Machine Learning where you will work directly with datasets, assist in building and testing ML models, and explore frameworks like Scikit-learn, TensorFlow, and PyTorch. If you have basic Python and ML library knowledge, an understanding of ML concepts, analytical skills, and eagerness to learn, this role will let you document outcomes and share learnings while gaining practical experience.
