Machine Learning Intern

Key Responsibilities:

• Assist in data collection, cleaning, and preprocessing for analysis and model development.
• Support the development and training of machine learning models, including regression, classification, and clustering techniques.
• Participate in the implementation and evaluation of natural language processing (NLP) techniques, such as Named Entity Recognition (NER).
• Help with the creation and maintenance of data pipelines and workflows.
• Collaborate with team members to interpret and communicate findings from data analysis.
• Assist in the development of visualizations and dashboards to present data insights to stakeholders.

Requirements:

• Currently enrolled in an undergraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Basic knowledge of programming languages such as Python or R.
• Familiarity with data analysis tools and libraries such as pandas, NumPy, and scikit-learn.
• An understanding of basic machine learning concepts and algorithms.
• Strong analytical and problem-solving skills.
• Good communication skills and the ability to work well in a team environment.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Familiarity with natural language processing (NLP) techniques and tools.
• Experience with cloud platforms and big data technologies is a plus.

What We Offer:

• Hands-on experience with real-world data science and machine learning projects.
• Mentorship from experienced professionals in the field.
• Opportunities for professional development and growth.
• A collaborative and innovative work environment.