ML Engineer - Production Forecasting & Systems

Mai Placement; Newark (NJ); On-site; USD 150,000 - 200,000; Full time

Job summary

Mai Placement in Newark, NJ is seeking a Machine Learning Engineer to own forecasting and production systems that drive sales projections, inventory planning, and purchasing decisions. You will deploy models in production and work with operations to ensure reliable, scalable forecasts.

This role emphasizes building end-to-end solutions, data pipelines, and measurable outcomes. Ideal candidates have proven experience deploying models, Python, time-series modeling, and delivering usable forecasts

Qualifications

• Proven experience deploying machine learning models into production.
• Strong Python and Scikit-learn experience.
• Strong statistical and predictive modeling foundation.
• Hands‑on experience with time series forecasting in real business settings.
• Experience working with large-scale / big data environments.
• Experience building data pipelines tied to ML systems.
• Ability to operate in fast‑paced, execution‑driven environments.

Responsibilities

• Own SKU-level forecasting models across sales, demand, and purchasing
• Deliver forecasts that directly influence inventory and operational decisions
• Deploy models into live environments used by operations and leadership
• Build and maintain data pipelines supporting real-time or near-term forecasts
• Translate operational problems into predictive models and deliver usable forecasts

Skills

Python

Scikit-learn

Time series

Production ML

Tools

SQL

Spark

Job description

Mai Placement in Newark, NJ is seeking a Machine Learning Engineer to own forecasting and production systems that drive sales projections, inventory planning, and purchasing decisions. You will deploy models in production and work with operations to ensure reliable, scalable forecasts.

This role emphasizes building end-to-end solutions, data pipelines, and measurable outcomes. Ideal candidates have proven experience deploying models, Python, time-series modeling, and delivering usable forecasts