Machine Learning Engineer (Hands-On Builder) - Consultant
Location: Philadelphia, PA - Hybrid 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. 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 biasvariance 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. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. 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. 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans.
Location: Philadelphia, PA - Hybrid 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. 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 biasvariance 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. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. 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. 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans.