Forecasting ML Engineer — Production ML & Analytics

GCS Recruitment; Kennesaw (GA); On-site; USD 110,000 - 170,000; Full time

Job summary

GCS Recruitment in the United States is seeking a hands-on ML Engineer/Data Scientist to take ownership of existing production models and drive improvements in accuracy and performance. You will engineer new features, optimize pipelines, and deploy scalable ML solutions across cloud platforms.

The role emphasizes collaboration with analytics and operations teams, applying time-series forecasting, model evaluation metrics, and best practices in MLOps including Docker and Kubernetes.

Qualifications

• Strong Python and SQL programming skills with hands-on ML experience.
• Experience building and evaluating predictive models and time-series forecasting.
• Proficiency with feature engineering, model optimization, and deploying ML pipelines.

Skills

Python & SQL

Machine Learning & PredictiveAnalytics

Forecasting & Time-Series Modeling

Feature Eng & Model Optimization

Model Evaluation (Precision Recall F1)

PySpark / Apache Spark

MLflow, Docker, Kubernetes

AWS or Azure Cloud

Production ML deployment & maintenance

XGBoost / Scikit-Learn / LightGBM

Tools

XGBoost

Scikit-Learn

LightGBM

PySpark

MLflow

Docker

Kubernetes

AWS

Azure

Job description

GCS Recruitment in the United States is seeking a hands-on ML Engineer/Data Scientist to take ownership of existing production models and drive improvements in accuracy and performance. You will engineer new features, optimize pipelines, and deploy scalable ML solutions across cloud platforms.

The role emphasizes collaboration with analytics and operations teams, applying time-series forecasting, model evaluation metrics, and best practices in MLOps including Docker and Kubernetes.