Artificial Intelligence Engineer

Company Description WCA GLOBAL™ supports small and medium-sized enterprises in implementing ISO quality systems and ethical business practices across an international network. The organization guides businesses through compliance and accredited quality management to help them deliver reliable, trusted products and services. Its work promotes fair trade, transparency, and consumer rights, creating a framework where responsible business practices can thrive. Team members contribute to meaningful impact by helping companies meet rigorous global standards while operating ethically and sustainably.
Role Description This part-time remote Artificial Intelligence Engineer role focuses on designing, developing, and deploying AI solutions that support WCA GLOBAL™ in evaluating, optimizing, and monitoring quality and ethical business practices. Day-to-day responsibilities include building and training machine learning models, implementing pattern recognition algorithms, and developing neural network architectures to analyze operational and compliance data. The engineer will work on natural language processing (NLP) tools to process documents and communication records for insights into accreditation, quality, and ethical standards. The role also involves collaborating with cross-functional stakeholders to translate business requirements into technical specifications, writing high-quality, maintainable code, and iteratively improving models based on performance metrics and user feedback. The successful candidate contributes to scalable AI tools that streamline ISO certification workflows and enhance decision-making.
Qualifications
Candidates should possess strong foundations in Computer Science and Software Development, including algorithms, data structures, and clean coding practices.
Candidates should possess skills in Pattern Recognition and Neural Networks for designing and optimizing machine learning models.
Candidates should possess experience in Natural Language Processing (NLP) for analyzing text-based data, documentation, and compliance reports.
Candidates should possess proficiency with common AI/ML tools and frameworks (e.g., Python, TensorFlow or PyTorch, scikit-learn) and version control systems (e.g., Git).
Candidates should possess strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly to non-technical stakeholders.
A bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience, is preferred.
Experience working with compliance, quality management, or ISO standards, and prior remote or distributed team experience, is beneficial.

Work arrangement
Yes