Intern / Fresher – Machine Learning & Data Science

Role Overview:

As a Machine Learning & Data Science Intern, you will work closely with our team to develop data-driven solutions, explore datasets, and apply ML techniques to real-world problems. This is a hands-on opportunity to learn, experiment, and contribute to building products that make a difference.

Key Responsibilities:

• Assist in collecting, cleaning, and analyzing large datasets.
• Implement and experiment with machine learning models and algorithms.
• Support in building predictive models, recommendation systems, or NLP applications.
• Visualize data and present insights to the team.
• Collaborate with engineers and product teams to integrate ML solutions.
• Stay updated with the latest research and ML techniques.

Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field.
• Basic understanding of machine learning algorithms, statistics, and data analysis.
• Familiarity with Python, R, or similar languages.
• Experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong problem-solving skills and curiosity to learn.
• Good communication skills and ability to work in a collaborative environment.

What You’ll Learn:

• Hands-on experience with real-world ML projects.
• End-to-end data science workflow, from data collection to model deployment.
• Exposure to working in a fast-paced startup environment.
• Collaborative teamwork and product-focused thinking.