Machine Learning Engineer

Reference: 1804_1790017916

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.

COMPETITIVE SALARY
Added 21/09/2026
Reference: 1804_1790017916

Machine Learning Engineer

United States of America Contract Data

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