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Pacer Group

Machine Learning Engineer

On site

Philadelphia, United states

Freelance

10-09-2025

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Skills

Python Data Analysis Version Control Problem-solving Training Machine Learning Scikit-Learn git Numpy Pandas

Job Specifications

Responsibilities:

Own, maintain, and optimize an existing production-grade predictive model built using CatBoost and standard Python ML libraries.
Develop robust data preprocessing pipelines and feature engineering strategies to improve model accuracy using large, historical datasets from job tracking applications.
Implement rigorous model validation techniques, track performance metrics (e.g., RMSE, MAE), and proactively identify areas for improvement.
Collaborate directly with Data Engineers, Software Developers, and Product Managers to integrate and serve ML models within production systems.
Analyze model output, investigate anomalies, and ensure overall model reliability and reproducibility.
Clearly document your work and communicate complex model behavior and findings to both technical and non-technical stakeholders.
Explore and prototype advanced modeling techniques (e.g., Bayesian models, statistical methods) for future product enhancements.

Must-Have Skills:

Expert-level proficiency in Python for machine learning and data analysis, with proven professional experience.
Deep, hands-on expertise with scikit-learn, pandas, NumPy, and standard data preprocessing libraries.
Practical, professional experience with CatBoost (or similar gradient boosting frameworks like XGBoost or LightGBM), including model training, validation, and hyperparameter tuning.
Solid understanding of end-to-end ML lifecycle: feature engineering, model training, validation, hyperparameter tuning, and performance measurement.
Proven ability to clean, analyze, and derive insights from large, structured, real-world datasets.
Professional experience with Jupyter Notebooks and Git for version control.
Excellent problem-solving skills and the ability to communicate complex concepts clearly and effectively.

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About the Company

Founded in 2008, PACER is a Minority Woman-owned Global Staffing firm serving Fortune 500 Clients with customized and scalable workforce solutions. With our Account Management integrated into our service delivery processes, we provide our clients with staffing solutions that are transparent and robust irrespective of the industry they function in. Services: 1) Staffing 2) Employer of Record (EOR) 3) Agency of Record (AOR) 4) Recruitment Process Outsourcing (RPO) 5) Sunset Supplier Solutions Today we employ over 8500 indus... Know more