AI Scientist

We are seeking a highly skilled and innovative AI Scientist to research, design, develop, and deploy advanced Artificial Intelligence (AI) and Machine Learning (ML) solutions to solve complex business problems. The ideal candidate will have strong expertise in machine learning, deep learning, statistical modeling, generative AI, and large language models (LLMs), with the ability to translate research concepts into scalable, production-ready AI applications.

The AI Scientist will collaborate with data scientists, software engineers, product managers, and business stakeholders to drive AI innovation, improve operational efficiency, and deliver measurable business value.

• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Build proof-of-concepts and prototypes to evaluate the feasibility and effectiveness of AI solutions.
• Perform data analysis, feature engineering, model evaluation, and statistical experimentation.
• Develop model evaluation frameworks and benchmark AI solutions for accuracy, robustness, performance, and scalability.
• Collaborate with engineering teams to deploy and integrate AI models into production systems.
• Optimize models for inference speed, computational efficiency, and resource utilization.
• Apply responsible AI principles, including fairness, explainability, privacy, security, and bias mitigation.
• Monitor model performance and implement continuous improvement strategies.
• Document research findings, methodologies, experiments, and technical specifications.
• Present technical insights and recommendations to technical teams, leadership, and business stakeholders.