AI Specialist

Income; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Income is seeking an experienced AI engineer to design, develop, and deploy Generative AI models and applications in a fast-paced environment in Singapore.

The role emphasizes collaboration with data scientists and product teams, ownership of AI development processes, and a strong focus on data privacy and ethical practices.

Qualifications

• Master’s or bachelor's degree in CS, CE, AI, or related field.
• 6–8 years of software development experience focusing on AI and frontend tech.
• Minimum 4+ years in a role involving AI development and implementation.
• Strong background in Generative AI technologies.
• Experience with NLP and computer vision.
• Knowledge of ethical AI practices and data privacy regulations.
• Solid knowledge of data warehousing, databases, and cloud platforms (AWS/Azure/GCP).
• Experience with data mining techniques and methodologies.
• Excellent organizational and analytical abilities.
• Outstanding problem-solving skills, with ability to tackle complex technical challenges.
• Strong statistical analysis skills and ability to interpret findings effectively.

Responsibilities

• Design, develop, and implement GenAI models and applications.
• Optimize GenAI systems for improved performance and efficiency.
• Stay current with advancements in GenAI technologies.
• Create and manage the AI/ML development process and infrastructure.
• Collaborate with data scientists, programmers, and stakeholders.
• Translate complex AI concepts for non-technical audiences and executives.
• Expose models via APIs and maintain API documentation.
• Collaborate on system integration projects for seamless AI deployment.
• Explore new GenAI techniques to enhance product capabilities and AI roadmap.
• Develop testing protocols and ensure reliability, scalability, and ethics audits.

Skills

Generative AI

Frontend technologies

NLP

Computer vision

Ethical AI

Data privacy

Data warehousing

Cloud platforms

Data mining

Statistical analysis

Analytical skills

Problem solving

Education

Bachelor’s or Master’s in CS/CE/AI

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