Job Description

Seeking a Machine Learning Engineer to maintain, enhance, and productionize an existing predictive model that estimates the average duration of construction jobs. You’ll work with historical workflow data, improve model accuracy, and explore new ML opportunities once the current model is stable.

Must-Have Skills

• Python – strong proficiency for data manipulation & model implementation.
• scikit-learn – experience building, training, and evaluating ML models.
• Applied Machine Learning – hands-on experience with regression, classification, or similar predictive modeling techniques.
• Data Preprocessing – cleaning, transforming, and feature engineering from structured datasets.
• Version Control – Git or similar.

Responsibilities

• Maintain and improve an existing construction job duration prediction model.
• Work with historical workflow data to refine accuracy and reliability.
• Collaborate with product and engineering teams to integrate models into production applications.
• Document model design, assumptions, and results for transparency.
• Explore and propose enhancements using advanced ML techniques (e.g., Bayesian models, statistical methods).

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