AI Developer

Our purpose

Koios Intelligence aims to revolutionise the insurance industry through artificial intelligence (AI) and natural language processing (NLP). We provide advanced virtual assistant solutions voice enabled to enhance customer & insurance agents experience, streamline operations, and drive innovation. By using state-of-the-art large language models and generative AI, we simplify complex insurance processes, improve decision-making, and enable personalised interactions for policyholders and insurers.

Job Summary

We are seeking a skilled and innovative AI Developer to join our team. In this role, you will be responsible for designing, developing, and implementing artificial intelligence solutions that leverage machine learning, deep learning, and natural language processing techniques. You will collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to develop AI models and integrate them into scalable software applications. The ideal candidate has a strong background in AI development, excellent programming skills, and a passion for solving complex problems using cutting-edge technologies.

Responsibilities

• Work closely with domain experts to understand business requirements and design AI solutions that address specific use cases.
• Develop and implement machine learning models, deep learning architectures, and natural language processing algorithms to solve complex problems.
• Preprocess and clean large datasets to ensure data quality and suitability for AI model training.
• Train and fine-tune AI models using various techniques, such as supervised learning, unsupervised learning, and reinforcement learning.
• Evaluate and benchmark AI models using appropriate metrics to assess their performance and identify areas for improvement.
• Collaborate with software engineers to integrate AI models into scalable software applications and ensure smooth deployment.
• Optimise AI models and algorithms for performance, scalability, and efficiency, considering factors such as computational resources and real-time processing requirements.
• Stay up to date with the latest advancements in AI, machine learning, and deep learning technologies, and proactively apply new techniques and frameworks to improve existing AI solutions.
• Collaborate with cross-functional teams to identify opportunities for leveraging AI and automation to streamline processes and enhance business outcomes.
• Document code, methodologies, and experiments, and contribute to the knowledge sharing within the team.
• Participate in code reviews to ensure code quality, maintainability, and adherence to best practices.

Requirements

What we offer for your valuable work

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