AI Specialist

Income Insurance Limited; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Income Insurance Limited seeks an experienced AI/ML engineer to lead GenAI initiatives, build models, deploy APIs, and shape the data infrastructure in Singapore. You will work closely with data scientists and stakeholders to translate complex concepts into practical solutions, ensuring ethical AI practices and scalable systems.

The role emphasizes collaboration, hands-on development across the AI stack, and governance aligned with product goals, in a fast-paced environment.

Qualifications

• 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 NLP and computer vision
• Knowledge of ethical AI practices and data privacy regulations
• Solid knowledge of data warehousing, database systems, and cloud platforms (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

Responsibilities

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

Skills

GenAI development

Frontend tech

Analytical thinking

Problem solving

Statistical analysis

Education

Master's or Bachelor's in CS/CE/AI

4+ years in AI development

Tools

NLP

Computer Vision

Cloud platforms (AWS/Azure/GCP)

Job description

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, includingproduct managers and executives
• Translate complex technical concepts into accessible language fornon-technical team members
  

3. Data Analysis and Infrastructure

• Conduct statistical analysis and interpret findings to drivedecision-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 withother 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 productcapabilities
• 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 ethicalstandards
  

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 technicalchallenges
• Strong statistical analysis skills and the ability to interpret findingseffectively