Machine Learning Engineer
Job Title: Machine Learning Engineer
Location: Chicago, IL / Remote within the U.S.
About the Role
We are looking for an experienced Machine Learning Engineer to develop, deploy, and maintain production predictive AI solutions.
You will work on real-world machine learning problems involving forecasting, prediction, optimization, and automation.
What You Will Do
- Develop predictive ML models using Python and Scikit-learn.
- Build scalable PySpark data-processing pipelines.
- Perform feature engineering and statistical analysis.
- Train, evaluate, and optimize machine learning models.
- Deploy ML models into production.
- Build automated MLOps pipelines.
- Implement model monitoring and retraining processes.
- Work with AWS-based ML infrastructure.
- Investigate production model performance and improve existing models.
- Collaborate with Data Scientists, Software Engineers, and business stakeholders.
- Support NLP, LLM, and Generative AI initiatives.
Example Use Cases
- Predict construction completion dates.
- Predict government permit processing times.
- Forecast construction costs.
- Improve existing production ML models.
- Develop ML-driven automation and decision-support solutions.
Required Skills
- 5+ years ML Engineering/AI Engineering experience.
- Python.
- PySpark/Spark.
- Scikit-learn.
- AWS.
- MLOps.
- ML deployment.
- Feature engineering.
- Model evaluation and monitoring.
- Production ML experience.
Preferred
XGBoost/LightGBM, MLflow, PyTorch/TensorFlow, NLP/LLMs, CI/CD, workflow orchestration, forecasting, and distributed ML.
GCS is acting as an Employment Business in relation to this vacancy.
Machine Learning Engineer
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