Total 5 quality assurance engineer job vacancies in Singapore

Job Responsibilities

• Responsible for the algorithm research and development, delivery, and customer support for ZOLOZ, the overseas business of Ant Group's security technology.
• Design algorithmic solutions for security scenarios targeting overseas customers, including task breakdown and the development of algorithm modules.
• Closely collaborate with product and solution teams to develop industry-leading AI commercial products, achieving advanced levels in the industry and delivering these to overseas customers.
• Explore the transformative changes and enhanced security that multimodal large models can bring to identity verification.

Job Requirement

• Possesses extensive experience and a strong background in machine learning/artificial intelligence, with a solid academic foundation and research creativity. Priority is given to those with expertise in computer vision, risk control modeling (Graph, NLP), and multi-modal large models.
• Has practical experience in algorithm engineering, leading or participating in the industrial implementation of algorithmic products or projects. Proficient in relevant programming platforms such as PyTorch, TensorFlow, Keras, etc. Experience with large model implementations is preferred.
• Holds at least a Master's degree in Computer Science, Computer Engineering, or related fields. A Ph.D. or publications in top-tier conferences/journals are preferred.
• Demonstrates excellent communication skills, along with the ability to collaborate and drive cross-team or cross-departmental projects. Preference will be given to candidates with B2B commercialization experience or fluency in English.

Job Responsibilities

- Support the production of scalable and optimised AI or machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.

Job Responsibilities

- Support the production of scalable and optimised AI or machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.

Job Requirement

- Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies)

- Minimum 10 months’ work experience in AI engineer

Job Responsibilities

- Support the production of scalable and optimised AI or machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.

Job Requirement

- Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies)

- Minimum 1 years’ work experience in AI engineer

Job Responsibilities:

• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.

Job Qualification:

• At least a Bachelor’s degree in any of these faculties:
• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)
• Minimum total one years’ work experience in at least one of these job titles: AI engineer