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
OverviewWe 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.
Requirements 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.
Technology Doesn't Change the World, People Do.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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