Machine Learning Intern

Company Description

Groflex is an Execution Intelligence platform that bridges the gap between decision-making and real-world execution. We connect operational signals, context, and decisions to drive coordinated action across existing enterprise systems — ERP, planning, and WMS — with full accountability and audit trail. Our platform helps regulated supply chains in food distribution, food manufacturing, and healthcare manage execution risk in real time, improve service reliability, optimise working capital, and build operational resilience.

Role Description

This is a remote,
unpaid
internship for 6 months. You will work under our lead AI/ML engineer on real machine learning models that run in production on live supply chain data. This is not a data cleaning role. You will design, train, and evaluate models that help supply chain operators detect risk, predict demand, and prevent costly failures before they happen.

You will work directly with the engineering team and have ownership of the models you build. Your work goes into production.

Qualifications

• Currently pursuing or recently completed a Master's or equivalent degree in Computer Science, Data Science, Machine Learning, or a related field

• Strong foundation in machine learning and deep learning techniques

• Proficiency in Python; familiarity with scikit-learn, PyTorch, or TensorFlow

• Experience with statistics, feature engineering, and model evaluation

• At least one real ML project you can show us — GitHub, Kaggle, or thesis work

• Ability to work independently in a remote, async team across time zones

• Understanding of supply chain, operations, or time-series data is a strong plus

What You Get

• Ownership of production ML models on real operational data

• Formal completion letter from Groflex Technology Inc. (Delaware C Corp), signed by the CEO

• LinkedIn recommendations from the CEO and engineering lead on completion

• Academic placement credit documentation available on request

• Direct mentorship from the founding engineering team

To Apply

Email hello@groflex.ai with subject: ML Intern — [Your Name] — [University]

Include: a brief note on your ML background, one project link, your CV, and your available start date.