Company Description
Fusilier Advisory is a strategic AI, data, and systems advisory firm dedicated to helping organizations design, scale, and optimize complex digital architectures. With a focus on artificial intelligence, data engineering, and software systems, Fusilier Advisory combines strategic clarity with engineering precision to drive business value. Our execution-oriented approach enables decision-makers to streamline operations, integrate advanced technologies, and build scalable, resilient solutions. We are committed to delivering impactful results aligned with our clients' long-term objectives.
Role Description
This is a part-time hybrid role for an AI Software Engineer, based in the Greater Paris Metropolitan Region with some flexibility to work from home. The AI Software Engineer will be responsible for designing, developing, and implementing AI-driven solutions, such as algorithms for pattern recognition, natural language processing (NLP) models, and neural networks. The engineer will collaborate with cross-functional teams to apply AI techniques and assist in building robust, scalable software solutions tailored to business needs. Responsibilities also entail documenting processes, troubleshooting, and optimizing models and software systems.
Qualifications
- Strong foundation in Computer Science and expertise in Software Development
- Proven experience in Pattern Recognition and Neural Networks
- Knowledge and practical application of Natural Language Processing (NLP)
- Proficiency in programming languages commonly used in AI and software development, such as Python or Java
- Strong analytical and problem-solving skills with attention to detail
- Ability to work effectively in both collaborative and autonomous settings
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Experience in developing AI applications for real-world use cases is a plus
- Proficiency in French and English is an advantage for collaborative efforts in a local and global context