Machine Learning Engineer
Job Title: Machine Learning Engineer
Location: Boston, MA / Remote within the U.S.
Job Type: Contract / Full-Time
Position Overview
We are hiring a Machine Learning Engineer to develop scalable predictive models and production ML pipelines.
This role is suited for an engineer who enjoys solving complex problems with data and has experience taking ML models from experimentation into production.
Responsibilities
- Develop predictive machine learning solutions.
- Build scalable data-processing pipelines using Python and PySpark.
- Perform feature engineering and data analysis.
- Train, evaluate, and optimize ML models.
- Deploy models into production.
- Build MLOps pipelines for training, deployment, monitoring, and retraining.
- Monitor model performance and continuously improve production models.
- Develop AWS-based ML solutions.
- Work with large structured and unstructured datasets.
- Collaborate with engineering, data science, and business teams.
- Contribute to NLP/LLM/GenAI initiatives as needed.
Required
5+ years ML/AI Engineering experience, strong Python, PySpark, Scikit-learn, AWS, MLOps, production ML deployment, feature engineering, and model evaluation.
Preferred
XGBoost, LightGBM, MLflow, PyTorch, TensorFlow, NLP/LLM, forecasting, CI/CD, workflow orchestration, and distributed ML.
GCS is acting as an Employment Business in relation to this vacancy.
Machine Learning Engineer
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