Machine Learning - Internship

We are seeking a detail-oriented and self-driven machine learning intern to
tackle real-world forecasting challenges. In this role, you will move beyond
basic tutorials to work on complex time-series modeling and data pipelines.
The ideal candidate is a problem-solver who can independently research
solutions, experiment with the latest models, and communicate technical
findings clearly. If you enjoy digging into data and figuring out "why" a
model works (or doesn't), this role is for you.

Selected intern's day-to-day responsibilities include:

1. Model research & development: independently research, evaluate, and
implement the best-fit ML and forecasting models for our specific use cases.
2. Advanced data processing: Handle complex workflows involving time-series
data combined with categorical features, including data merging, cleaning,
preprocessing, and feature engineering.
3. Cloud data management: Manage and retrieve datasets using AWS S3
(Mandatory).
4. Reporting & communication: Document experiments thoroughly and create
professional reports/PPTs to present your findings to the team.
5. Optimization: Train, tune, and validate models using modern libraries to
ensure accuracy on real-world data.
6. Assist with training workflows using AWS SageMaker.