Total 2 product engineer job vacancies in Singapore

Job Description

Sandbox Platform:

• Assist in the development and maintenance of the AI Labs 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 (RD) to stay up-to-date with the latest advancements in AI, machine learning, Large Language Model frameworks.
• Provide technical guidance and support in the AI domain to teams under incubation that develop AI products.
• 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 Organizations 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 Organizations 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 hyperscales expert teams and government agencies.
• Contribute to a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.
• Mentor and guide junior engineers in AI and machine learning best practices

Talent Development and Ecosystem Engagement

• Contribute to the development of AI talent through participation in education and training programs.
• Engage with the external AI ecosystem to stay updated with the latest trends and advancements.
• Represent organization at industry events and conferences to showcase the companys AI capabilities.

Who we are looking for:

• Bachelors or Masters 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
• This role presents an exciting opportunity in Organizations AI transformation and contribute to the companys strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing the company as an industry leader in AI innovation.

EA Number: 11C4879

Job Description

We are looking for a Cloud Engineer to help with the acceleration of cloud adoption. The applicant will have a strong background in IT Infrastructure with a strong understanding and at least 3 years’ experience with Public, Private and hybrid cloud.

Job Responsibilities

• Design, deploy, and maintain cloud-based infrastructure using AWS or Google Cloud.

• Ensure compliance with asset management regulations in relevant countries.

• Monitor and optimize cloud resources for performance, cost, and security.

• Collaborate with cross-functional teams to develop and implement cloud solutions.

• Troubleshoot and resolve cloud-related issues promptly.

• Develop and maintain documentation for cloud infrastructure and processes.

• Stay updated with the latest cloud technologies and best practices.

• Managing cloud environments in accordance with company policies

• Developing, deploying and debugging IaC code (Cloud formation and Terraform).

• Interacting with users, providing cloud support, and making recommendations

• Employing exceptional problem-solving skills, with the ability to see and solve issues

• Educating teams on the implementation of new cloud technologies and initiatives.

• Regularly reviewing existing systems and making recommendations for improvements.

Job Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3-7 years of experience in cloud engineering, with a focus on AWS or Google Cloud.

• Experience in the financial services industry.

• Strong understanding of cloud security, networking, and cost management.

• Knowledge of DevOps practices and tools.

• Familiarity with asset management regulations

• Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation.

• Proficiency in scripting languages like Python, Bash, or PowerShell.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.

Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect).

EA Number: 11C4879