About this role

Role: AI/ML Engineer – Forecasting
Location: Remote
Experience: 10+ Years

Role Overview

We are looking for an experienced AI/ML Engineer / Data Scientist to build forecasting and machine learning solutions using large amounts of business data such as sales, transactions, inventory, operations, and product information.

The main goal is to help stores decide:

What food should be prepared
How much should be prepared
When it should be prepared
The ideal candidate should have strong experience in machine learning, time-series forecasting, and demand prediction, along with strong Python and SQL skills.
They should also be comfortable using modern AI tools such as LLMs and AI-assisted coding tools to quickly build, test, and deploy solutions.

Must-Have Skills

12+ years of experience in AI/ML, Data Science, or a related field
Strong hands-on experience building Machine Learning and Forecasting models
Advanced Python and SQL
Strong experience with Pandas, Scikit-learn, XGBoost, LightGBM, or similar ML libraries
Strong experience with Time-Series Forecasting and Demand Prediction
Experience with Feature Engineering, Model Validation, and Back-testing
Experience working with large transactional, sales, inventory, or operational datasets
Experience deploying ML models into production
Strong problem-solving skills and ability to convert business problems into technical/analytical solutions
Experience with LLMs / Generative AI / AI-assisted coding tools is preferred

Education

Bachelor's or Master's degree in:

Computer Science
Data Science
Statistics
Mathematics
Engineering
or a related field

Ideal Candidate

The best fit would be someone who is a hands-on AI/ML Engineer or Data Scientist with strong time-series forecasting experience, especially in retail, restaurants, food service, supply chain, inventory, or demand planning.

AI/ML Engineer - Forecasting | REMOTE

Key skills

About this role