Meaningful work,
meaningful life

Job Description:

Sandbox Platform:

• Assist in the development and maintenance of the AI Lab’s global sandbox platform.

• Ensure the platform is effectively used for experimenting with AI applications.

• Contribute to the continuous improvement of the platform based on user feedback and technological advancements.

• Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment.

• Provide technical guidance and support to teams using the sandbox for AI product development.

Technical AI Domain Expertise:

• Conduct research and development (R&D) to stay up-to-date with the latest advancements in AI, machine learning, Large Language Model frameworks.

• Analyse and interpret data to provide actionable insights and recommendations.

AI Development and Quality:

• Optimize and fine-tune AI models for performance, scalability, and accuracy.

• Assist in the technology aspects of the structured AI product incubation and acceleration program.

• Ensure AI Products and experiments are developed in alignment with core risk, data protection, technology risk management policies, and regulations.

• Contribute to the implementation of rigorous quality assurance processes to maintain the highest standards of AI solutions.

• Work on the delivery of high-quality AI products, continuous improvement, experimentation, and development of AI expertise.

Team Collaboration

• Collaborate with cross-functional teams, including technology, AI, and business stakeholders, to integrate AI solutions into products and services.

• Work with external partners, including higher education institutions, start-ups, and hyperscale’s expert teams and government agencies.

• Contribute to a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.

Who we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Proven experience (5 years or more) in developing and deploying AI models and algorithms.

• Strong technical background in data, AI, and modern cloud infrastructure.

• Excellent programming skills in languages such as Python, R.

• Experience with machine learning frameworks and libraries (e.g., LLM frameworks, Computer Vision, NLP frameworks, TensorFlow, PyTorch, scikit-learn).

• Knowledge of data preprocessing, feature engineering, model evaluation, MLOPs, LLMOps techniques

• Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure).

• Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

• Ability & Passion for innovation and a drive to position at the forefront of AI in the insurance industry