Forecasting ML Engineer: Production Models & Optimization

GCS Recruitment; Long Island (KS); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

GCS Recruitment seeks a Machine Learning Engineer to own and enhance predictive models that forecast timelines, demand, and risks. You will build features, optimize models, and deploy scalable ML solutions in production environments.

Ideal candidates have strong Python/SQL skills, experience with ML algorithms, time-series forecasting, and familiarity with PySpark, MLflow, and containerized deployments on AWS or Azure.

Formación

• Strong Python and SQL experience.
• ML/Predictive Analytics experience.
• Familiar with XGBoost, Scikit-Learn, LightGBM.
• Forecasting and time-series modeling.
• Feature engineering and model optimization.
• Experience deploying production ML models.
• Proficiency with PySpark / Apache Spark.
• Experience with MLflow, Docker, Kubernetes.
• Cloud experience with AWS or Azure.

Responsabilidades

• Take ownership of existing models and improve prediction accuracy.
• Engineer new features and optimize model performance.
• Deploy scalable ML solutions.
• Maintain production ML models and monitor performance.
• Collaborate with cross-functional teams to align ML initiatives.

Conocimientos

Python & SQL

ML & Predictive Analytics

XGBoost/Scikit-Learn/LightGBM

Forecasting & Time-Series

Feature Engineering

Model Evaluation

PySpark

MLflow/Docker/Kubernetes

Cloud: AWS/Azure

Production ML Deployment

Herramientas

AWS

Azure

Descripción del empleo

GCS Recruitment seeks a Machine Learning Engineer to own and enhance predictive models that forecast timelines, demand, and risks. You will build features, optimize models, and deploy scalable ML solutions in production environments.

Ideal candidates have strong Python/SQL skills, experience with ML algorithms, time-series forecasting, and familiarity with PySpark, MLflow, and containerized deployments on AWS or Azure.