Junior AI Developer (part-time)

Junior AI Developer
Company Description
Inspire Careers Finance is part of Inspire Careers, an AI-powered career development, skills intelligence, and workforce learning platform serving both individuals and organizations. The platform helps individuals understand their current capabilities, explore career paths, close skills gaps, and access targeted training through AI-driven CV analysis, personalized learning pathways, and practical assessments. For employers, Inspire Careers enables detailed mapping of workforce skills, identification of capability gaps, and the creation of focused learning plans aligned with evolving business and technology needs. Learning content spans technology, financial markets, and professional development, blending structured programs with hands-on exercises to turn learning into measurable progress. Built on deep experience in technology recruitment, consulting, and workforce development, Inspire Careers connects skills growth with the capabilities employers actively seek.
Role Description
The Junior AI Developer (part-time) will support the design, development, and testing of AI-driven features within the Inspire Careers Finance platform in a remote capacity. Day-to-day responsibilities include implementing and refining models for pattern recognition and natural language processing, assisting in the integration of neural network components into existing software, and contributing to data preparation and analysis tasks.
The role involves collaborating with senior developers and product stakeholders to translate business requirements into technical solutions, writing clean and maintainable code, and documenting models, workflows, and APIs. The Junior AI Developer will also help monitor model performance, troubleshoot issues, and participate in iterative improvements to enhance accuracy, scalability, and user experience.
Qualifications
Solid foundation in Computer Science and Software Development, including data structures, algorithms, and version control tools.
Knowledge of Pattern Recognition and Neural Networks, with familiarity in training, evaluating, and optimizing machine learning models.
Experience or coursework in Natural Language Processing (NLP), such as text classification, entity recognition, or language modeling.
Proficiency in at least one modern programming language commonly used in AI (e.g., Python), and exposure to ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Strong analytical and problem-solving skills, with attention to detail and the ability to work independently in a remote, part-time setting.
Effective written and verbal communication skills and the ability to collaborate with technical and non-technical stakeholders.
Currently pursuing or having completed a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field is preferred.
Interest in financial markets, workforce development, or educational technology is an advantage.

Work arrangement
Yes