Contract Machine Learning Consultant Remote, Part Time, 3 to 6 Months – Part-time

Job Details Job Location: FOOT LEVELERS INC - ROANOKE, VA Salary Range: Undisclosed Description We’re looking for a hands-on Machine Learning Consultant with strong PyTorch and Scikit-Learn experience to help accelerate a key AI project. This role is part-time, fully remote, and expected to last 3–6 months. You’ll work directly with our development team to: • Build and optimize machine learning models to automate manual operations. • Provide expertise in data preprocessing and model deployment. • Mentor and upskill our internal developers, ensuring knowledge transfer and long-term capability. What we’re looking for: • Solid, hands-on ML experience with PyTorch and Scikit-Learn. • Background in data preparation, feature engineering, and deployment. • Strong communicator who enjoys mentoring and working directly with internal teams. • (Nice to have) Experience in manufacturing or product configuration systems. Details: • Duration: 3–6 months (part-time) • Location: Remote (NDA & secure VPN access required) • Compensation: Competitive, based on experience This is a chance to deliver real impact while helping our team grow its AI/ML capabilities. Qualifications Job Details Job Location: FOOT LEVELERS INC - ROANOKE, VA Salary Range: Undisclosed Description We’re looking for a hands-on Machine Learning Consultant with strong PyTorch and Scikit-Learn experience to help accelerate a key AI project. This role is part-time, fully remote, and expected to last 3–6 months. You’ll work directly with our development team to: • Build and optimize machine learning models to automate manual operations. • Provide expertise in data preprocessing and model deployment. • Mentor and upskill our internal developers, ensuring knowledge transfer and long-term capability. What we’re looking for: • Solid, hands-on ML experience with PyTorch and Scikit-Learn. • Background in data preparation, feature engineering, and deployment. • Strong communicator who enjoys mentoring and working directly with internal teams. • (Nice to have) Experience in manufacturing or product configuration systems. Details: • Duration: 3–6 months (part-time) • Location: Remote (NDA & secure VPN access required) • Compensation: Competitive, based on experience This is a chance to deliver real impact while helping our team grow its AI/ML capabilities. Qualifications Apply tot his job Apply tot his job