Job Title: Machine Learning Engineer
Location: Austin, TX / Remote within the U.S.
Job Type: Contract / Full-Time
About the Position
Join an AI and Data Science team developing production-grade predictive machine learning solutions. We are looking for an engineer who can work across the full ML lifecycle and turn business problems into reliable production models.
Responsibilities
- Design and develop predictive ML models.
- Build data and feature engineering pipelines using Python and PySpark.
- Develop scalable ML workflows.
- Train, evaluate, tune, and deploy machine learning models.
- Build MLOps pipelines for automated training and retraining.
- Monitor production models and analyze model performance.
- Work with AWS cloud infrastructure.
- Collaborate with Data Science and Software Engineering teams.
- Integrate models into enterprise applications.
- Support predictive forecasting and AI initiatives.
Projects May Include
- Construction-duration prediction.
- Permit-processing prediction.
- Construction-cost prediction.
- Production model optimization.
- Automated design and decision-support applications.
Required
Python, PySpark, Scikit-learn, AWS, MLOps, production ML, feature engineering, model deployment, monitoring, and model lifecycle management.
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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