AI/ML Engineer

Job Summary
We are seeking an experienced AI/ML Engineer to join our team and drive the development of cutting-edge AI and machine learning solutions to optimize our sales and labor forecasting process for a restaurant chain. The ideal candidate will have AI/ML and data engineering skills. You will collaborate closely with cross-functional teams to leverage data, improve forecasting models, and drive efficiency in the operations.
Responsibilities:
• As an AI/ML engineer for Sales and Labor Forecasting, you will gather, clean, and preprocess data from various sources, including POS systems, historical sales records, and labor reports, to create high-quality datasets for AI/ML models.
• Design, develop, and implement machine learning models to forecast restaurant sales, labor requirements, and staffing levels. Explore state-of-the-art AI techniques to improve forecasting accuracy.
• Train, fine-tune, and evaluate models, ensuring their reliability and accuracy. Continuously monitor and improve model performance.
• Work closely with Sales, Operations, and HR teams to align AI/ML models with business goals and ensure the successful integration of the models into daily operations.
• Implement AI/ML-driven optimization strategies to minimize labor costs while maximizing service quality and customer satisfaction.
• You will work with leading edge technologies like Azure Synapse Analytics, Azure Data Factory, Azure Machine Learning, AutoML and others.
Requirements
• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Hands-on experience with cloud platform Azure
• Experience with SQL and Python
• Proficiency in machine learning frameworks and libraries
• Excellent communication and collaboration skills to work effectively in a team environment and interact with stakeholders from various disciplines.

Preferred Qualifications:
• Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science.
• Self-motivated with a strong desire to learn and stay up to date with new technologies in the field.
• Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.