Lead ML Engineer - Forecasting & Production Models

GCS Recruitment; Village of Massapequa Park (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

GCS Recruitment is seeking a hands-on ML Engineer to own and improve production machine learning models forecasting timelines, demand, and risk across projects. You will engineer features, optimize performance, and deploy scalable ML solutions in AWS/Azure environments.

Responsibilities include maintaining models in production, evaluating forecasts with metrics, and collaborating with data teams to deliver actionable insights for marketing, sales, and operations.

Qualifications

• Strong Python and SQL experience with ML exposure.
• Experience building and deploying production ML models.
• Knowledge of forecasting, time-series, and feature engineering.

Responsibilities

• Own existing ML models and improve prediction accuracy.
• Engineer new features and optimize model performance.
• Deploy scalable ML solutions and monitor in production.

Skills

Python

SQL

ML/Forecasting

Time-Series Modeling

Feature Engineering

Model Evaluation

Spark

Tools

PySpark

MLflow

Docker

Kubernetes

AWS/Azure

Job description

GCS Recruitment is seeking a hands-on ML Engineer to own and improve production machine learning models forecasting timelines, demand, and risk across projects. You will engineer features, optimize performance, and deploy scalable ML solutions in AWS/Azure environments.

Responsibilities include maintaining models in production, evaluating forecasts with metrics, and collaborating with data teams to deliver actionable insights for marketing, sales, and operations.