Junior AI Developer (part-time)

Role: Junior AI Developer (part-time)

About the Role

Inspire Careers Finance is an AI-powered career development, skills intelligence, and workforce learning platform. The platform helps individuals understand capabilities, explore career paths, close skills gaps, and access training. For employers, it maps workforce skills, identifies capability gaps, and creates learning plans. Learning content covers technology, financial markets, and professional development.

Key Responsibilities

• Support the design, development, and testing of AI-driven features within the Inspire Careers Finance platform.
• Implement and refine models for pattern recognition and natural language processing.
• Assist in the integration of neural network components into existing software.
• Contribute to data preparation and analysis tasks.
• Collaborate with senior developers and product stakeholders to translate business requirements into technical solutions.
• Write clean and maintainable code.
• Document models, workflows, and APIs.
• Monitor model performance.
• Troubleshoot issues.
• Participate in iterative improvements to enhance accuracy, scalability, and user experience.

Requirements & Tech Stack

• 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).
• Exposure to ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to work independently in a remote, part-time setting.
• Effective written and verbal communication skills.
• Ability to collaborate with technical and non-technical stakeholders.

Qualifications

• 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.