Consultant I (Contractor)

Company: Robert Half
Location: Philadelphia
Posted on: January 28, 2026

Job Description:

Job Description Job Description Machine Learning Engineer (Hands?On Builder) - Consultant Location: Philadelphia, PA - Hybrid 4x Onsite Pay: Available on W2 Duration: 9-week contract, potential for extension or conversion Overview We are seeking an experienced Machine Learning Engineer who excels at building, training, and deploying real-world machine learning models from the ground up. This role is ideal for someone who enjoys transforming data into practical, scalable solutions and has deep hands-on experience with end-to-end ML pipelines. Key Responsibilities Design, develop, and deploy production-grade machine learning models. Build complete ML pipelines, including data preprocessing, modeling, evaluation, and deployment. Collaborate with cross-functional teams to translate business needs into ML solutions. Clearly communicate complex technical concepts to non-technical stakeholders. Document models, methodology, and decisions to support transparency and reproducibility. Required Qualifications Demonstrated experience building and shipping machine learning models in production environments. Advanced proficiency with scikit-learn and strong foundational knowledge across machine learning techniques, including: Regression Classification Clustering Ensemble methods Feature engineering Model evaluation and validation Strong understanding of the full machine learning lifecycle: Data preparation Model selection Hyperparameter tuning Validation Deployment strategies Ability to explain concepts such as the bias–variance tradeoff, overfitting, gradient boosting, and other ML fundamentals in a clear and accessible way. Bonus Points You can open a notebook, build a model with scikit-learn, and articulate both how it works and why it works — in plain, straightforward language.

Keywords: Robert Half, Edison , Consultant I (Contractor), IT / Software / Systems , Philadelphia, New Jersey