Company Description

Redefine Innovations is a Boston-based IT company that has been helping distributors and manufacturers modernize their technology since 2001. The company specializes in building B2B commerce platforms, migrating organizations to Dynamics 365 Business Central, and delivering custom software and IT consulting on a fixed-price basis with senior consultants only. Their services include data and analytics, Power BI, AI-driven automation, and digital transformation for wholesale, distribution, manufacturing, and B2B commerce businesses across the US. Redefine Innovations focuses on clear communication, predictable delivery, and long-term partnerships with clients nationwide. Role Description This is a full-time, remote AI/ML Engineer role. The AI/ML Engineer will design, develop, and deploy machine learning models to support B2B commerce, ERP migration, data analytics, and automation initiatives. Day-to-day tasks include building and training neural network and other ML models, performing data preprocessing and feature engineering, and applying pattern recognition and statistical methods to real-world business datasets. The role involves collaborating with software engineers and consultants to integrate AI solutions into production systems, optimizing algorithms for performance and scalability, and monitoring model behavior in live environments. The AI/ML Engineer will also contribute to solution design, documentation, and continuous improvement of AI-driven products and internal tools.

Qualifications

Strong foundation in Computer Science and Algorithms, with the ability to design efficient, scalable solutions. Proficiency in Statistics and Pattern Recognition for modeling, analysis, and evaluation of complex datasets. Hands-on experience with Neural Networks and modern machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Experience building end-to-end AI/ML pipelines, including data ingestion, cleaning, feature engineering, training, validation, and deployment. Programming skills in languages commonly used for AI/ML (such as Python), and familiarity with version control and collaborative development practices. Ability to translate business requirements into technical solutions and communicate clearly with technical and non-technical stakeholders. Experience working with cloud platforms, APIs, and data engineering tools is beneficial. Bachelor’s or higher degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience. Background in B2B commerce, ERP systems, or enterprise software is a plus.