Machine Learning Engineer

GCS Recruitment; City of White Plains (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

GCS Recruitment is seeking a skilled Machine Learning Engineer in New York to take ownership of existing predictive models, improve accuracy, engineer features, optimize performance, and deploy scalable ML solutions in production.

The role requires strong Python/SQL, ML and forecasting expertise, experience with PySpark and Spark ecosystems, and proficiency with MLflow, Docker, Kubernetes, and cloud platforms (AWS/Azure).

Qualifications

• Strong Python and SQL skills.
• Proficiency in ML and predictive analytics.
• Experience with production ML model deployment.
• Feature engineering expertise.
• Forecasting and time-series modeling.
• Experience with model evaluation metrics (e.g., Precision, Recall, ROC-AUC).
• Experience with Spark-based pipelines and big data tooling.
• Cloud experience with AWS or Azure.

Skills

Python

SQL

Machine Learning

Predictive Analytics

ML algorithms

Forecasting

Time-Series Modeling

Feature Engineering

Model Evaluation

PySpark

Apache Spark

MLflow

Docker

Kubernetes

AWS

Azure Cloud

Production Deployment

Tools

Docker

Kubernetes

MLflow

PySpark

Apache Spark

AWS

Azure Cloud

Job description

Role Overview

We're working with a team that uses Machine Learning and Predictive Analytics to forecast project timelines, permit approvals, resource planning, customer demand, and operational risks. These predictions help drive key business decisions across marketing, sales, and operations.

The team already has machine learning models in production and is looking for someone who can take ownership of existing models, improve prediction accuracy, engineer new features, optimize performance, and deploy scalable ML solutions.

Required Skills

• Strong Python and SQL experience
• Machine Learning and Predictive Analytics
• XGBoost, Scikit-Learn, LightGBM, or similar algorithms
• Forecasting and Time-Series Modeling
• Feature Engineering and Model Optimization
• Model Evaluation (Precision, Recall, F1, ROC-AUC, MAE, RMSE)
• PySpark / Apache Spark
• MLflow, Docker, Kubernetes
• AWS or Azure Cloud
• Experience deploying and maintaining production ML models

Preferred Background

• Demand Forecasting
• Customer Churn Prediction
• Revenue Forecasting
• Risk Scoring
• Resource Planning
• Pricing Optimization
• Capacity Planning
• Supply Chain Analytics
• Operational Forecasting