AI / ML Intern

We are looking for a passionate and curious AI/ML Intern to join our Data Science & Analytics team. This internship is designed for individuals who are eager to apply machine learning, data science, and AI concepts to real-world business problems.

You will work alongside experienced data scientists and engineers, gaining hands-on exposure to building ML models, analyzing data, and contributing to AI-driven solutions in a fast-paced consulting environment.

**Key Responsibilities

Machine Learning & Data Analysis**
Assist in building, testing, and evaluating machine learning models for classification, regression, and clustering tasks.
Support feature engineering, data preprocessing, and exploratory data analysis (EDA).
Contribute to model performance evaluation, hyperparameter tuning, and result documentation.

AI & Data Science Support
Assist in developing AI/ML pipelines and automating data workflows.
Support research on emerging AI techniques including NLP, Computer Vision, and Generative AI.
Help maintain and document data science codebases and notebooks.

Data Handling & Visualization
Work with structured and unstructured datasets from various sources.
Create insightful visualizations and dashboards to communicate findings.
Support data collection, cleaning, and transformation tasks.

Collaboration & Learning
Collaborate with cross-functional teams including data engineers, business analysts, and product teams.
Participate in team meetings, sprint reviews, and knowledge-sharing sessions.
Proactively learn new tools, frameworks, and methodologies relevant to AI/ML.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Basic knowledge of Python and familiarity with ML libraries (scikit-learn, pandas, NumPy, etc)
• Understanding of fundamental ML concepts (supervised/unsupervised learning, model evaluation, etc)
• Strong analytical thinking, attention to detail, and willingness to learn
• Good communication skills and ability to work in a team environment
• Exposure to tools like Jupyter Notebook, Git, or cloud platforms is a plus

What We Offer

• Competitive stipend with performance-based increments.
• Mentorship from senior data scientists and AI practitioners.
• Hands-on experience with real-world AI/ML projects and industry-grade tools.
• Clear pathway to a full-time position for outstanding performers.

Long-Term Opportunity: High-performing interns will be considered for a full-time role as a Data Scientist / ML Engineer upon successful completion of the internship, based on performance and business requirements.