Forecasting ML Engineer: Own & Scale Production Models

GCS Recruitment; Longview (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

GCS Recruitment in Texas is seeking a hands-on ML Engineer to join our data team. You will own production ML models used for forecasting project timelines, permit approvals, demand, and operational risks, and you will work with Python, SQL, Spark, and cloud tooling to deliver scalable predictions.

If you enjoy feature engineering, model optimization, and deploying end-to-end ML solutions in a modern cloud environment, this role offers ownership, collaboration with ML engineers, and impact across

Qualifications

• Strong Python and SQL proficiency for ML pipelines.
• Experience with forecasting and time-series modeling.
• Experience deploying production ML models.
• Familiarity with Spark ecosystem and ML tooling.

Responsibilities

• Own production ML models and forecast accuracy improvements.
• Engineer new features and optimize model performance.
• Deploy scalable ML solutions to cloud environments.
• Collaborate with data scientists and engineers to maintain production ML systems.

Skills

Python

SQL

Machine Learning

Forecasting

Time-Series

Feature Engineering

Model Deployment

Spark

MLflow

Docker

Kubernetes

Cloud (AWS/Azure)

Production ML

Tools

XGBoost

Scikit-Learn

LightGBM

PySpark

MLflow

Docker

Kubernetes

AWS

Azure

Job description

GCS Recruitment in Texas is seeking a hands-on ML Engineer to join our data team. You will own production ML models used for forecasting project timelines, permit approvals, demand, and operational risks, and you will work with Python, SQL, Spark, and cloud tooling to deliver scalable predictions.

If you enjoy feature engineering, model optimization, and deploying end-to-end ML solutions in a modern cloud environment, this role offers ownership, collaboration with ML engineers, and impact across