AI Specialist

Income Insurance · Singapore

Apply on the company website

Key Responsibilities:

1. Generative AI and ML Development

Design, develop, and implement GenAI models and applications
Optimize existing GenAI systems for improved performance and efficiency
Stay current with the latest advancements in GenAI technologies
Create and manage the AI/ML development process and infrastructure

2. Collaboration and Communication

Work closely with data scientists, programmers, and other stakeholders
Communicate the utility of AI models to diverse audiences, including product managers and executives
Translate complex technical concepts into accessible language for non-technical team members

3. Data Analysis and Infrastructure

Conduct statistical analysis and interpret findings to drive decision-making
Create and manage data transformation infrastructure
Automate critical tasks and procedures for the data science team

4. Model Deployment and Integration

Expose machine learning and GenAI models via APIs for integration with other applications
Develop and maintain API documentation for seamless integration
Collaborate on system integration projects to ensure smooth implementation of AI solution

5. Innovation and Research

Explore new GenAI techniques and methodologies to enhance product capabilities
Contribute to the company's AI strategy and roadmap

6. Evaluation

Develop and implement testing protocols for GenAI models
Ensure the reliability, scalability, and performance of AI systems
Conduct regular audits of AI models to maintain accuracy and ethical standards

Requirement:

Master's or Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a closely related field
6-8 years of relevant work experience in software development, with a focus on AI and frontend technologies
Minimum of 4+ years' experience in a similar role involving AI development and implementation
Strong background in AI, particularly in Generative AI technologies
Experience with natural language processing (NLP) and computer vision
Knowledge of ethical AI practices and data privacy regulations
Solid knowledge of data warehousing, database systems, and cloud platforms (e.g., AWS, Azure, or GCP)
Experience with data mining techniques and methodologies
Excellent organizational and analytical abilities
Outstanding problem-solving skills, with the ability to tackle complex technical challenges
Strong statistical analysis skills and the ability to interpret findings effectively

Responsible for designing, developing, deploying, and optimizing AI/ML and Generative AI solutions that drive business innovation and operational efficiency. The role combines hands-on AI engineering, model integration, data platform development, and collaboration with cross-functional stakeholders to deliver scalable and responsible AI capabilities.

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