Total 7 job vacancies by Asus Global Pte. Ltd.

About ASUS

AICS is part of ASUS, a multinational company known for the world’s best motherboards, PCs, monitors, graphics cards and routers. Along with an expanding range of superior gaming, content-creation and AIoT solutions, ASUS leads the industry through cutting-edge design and innovations made to create the most ubiquitous, intelligent, heartfelt and joyful smart life for everyone. With a global workforce that includes more than 5,000 R&D professionals, ASUS is driven to become the world’s most admired innovative leading technology enterprise.

About AICS

The mission of ASUS Intelligent Cloud Services (AICS) is to build revolutionary healthcare solutions with natural language processing, computer vision, and big data analytics. We provide Software as a Service (SaaS) applications to accelerate the effective use of medical data and improve the efficiency of hospital operations, unleashing the power of data for precision healthcare and bringing transformative impact to the industry.

Job Responsibilities:

• Research and implement appropriate ML algorithms and tools with a focus on optimizing performance and efficiency in maintenance.
• Explore cutting-edge GenAI technology to integrate SOTA methodologies into our practice.
• Work closely with an entrepreneurial team of experienced researchers and software engineers to successfully integrate ML models to production and continue to grow our business.

Requirements:

• Bachelor’s degree or above in computer science or related field with relevant experience
• 3+ years of experience with developing machine learning models at scale
• Proven experience in NLP or CV projects, like multi-label classification, text summarization, motion detection and object recognition
• Proven experience in LLM/VLM project, hands-on experience with pretrain and instruction finetune.
• Strong programming in Python, experience with ML frameworks and libraries such as TensorFlow, PyTorch and Transformers.

Are you ready to ignite your career and be part of something truly extraordinary? At ASUS, we’re In Search of Incredible—and we want you on our team! We’re looking for dynamic, passionate individuals who are eager to innovate, create, and make waves in the tech world. If you’re fueled by ambition and thrive in a fast-paced environment where your ideas can shape the future, this is your opportunity to shine.

Join us, and let’s chase the incredible together!

AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region.

The Responsibilities:

• Hands-on technical leadership and management of day-to-day activities of the ML engineering team within an Agile/Scrum environment.
• Build and grow a best-in-class engineering team.
• Work closely with the engineers to architect and develop the best ML solutions on the public cloud, including models, pipelines, performance optimization, testing, and deployment.
• Collaborate across engineering and product teams to translate business needs into ML specifications and deliverables.
• Work with an entrepreneurial team of experienced AI researchers and software engineers to successfully ship software products and continue to grow our business.
• Report on the status of development, quality, operations, and system performance to management.
• Management of departmental resources, staffing, and mentoring.

The Requirements:

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, Electric Engineering.
• 8+ years of building successful machine learning software solutions.
• 3+ years of experience managing ML and software engineers.
• Strong machine learning and deep learning fundamentals.
• Proficiency in developing and deploying ML solutions on Azure or other public cloud providers.
• Understanding of best practices in MLOps and software development processes including coding standards, code reviews, data and model pipelines, source control (Github), and test automation/CICD

About ASUS

AICS is part of ASUS, a multinational company known for the world’s best motherboards, PCs, monitors, graphics cards and routers. Along with an expanding range of superior gaming, content-creation and AIoT solutions, ASUS leads the industry through cutting-edge design and innovations made to create the most ubiquitous, intelligent, heartfelt and joyful smart life for everyone. With a global workforce that includes more than 5,000 R&D professionals, ASUS is driven to become the world’s most admired innovative leading technology enterprise.

About AICS

AICS focuses on providing SaaS platform to solve the real problems in the healthcare industry. We are looking for a skilled and experienced backend software engineer to join our team!

As a backend software engineer, you will design, build and deploy distributed systems on the public cloud. Our culture advocates grass root innovation and continuous learning. Feed your passion, get inspired, and grow with us!

Responsibilities:

• Design and implement on-prem and cloud-based systems for scalability and security.
• Build and maintain high-availability backend services and reusable frameworks.
• Develop and optimize data platform solutions.
• Collaborate with cross-functional teams in agile sprints.
• Continuously monitor and enhance system performance.

Qualifications:

• 2+ years of experience in backend development.
• Strong interpersonal communication, problem-solving skills, and experience with peer code reviews to maintain code quality.
• Experience in designing, building, and running microservices in a polyglot environment, leveraging technologies such as TypeScript, Node.js, Python, and FastAPI.
• Proficiency in working with PostgreSQL and/or MongoDB.
• Familiarity with cloud platforms like Azure, GCP, or AWS.

About ASUS

AICS is part of ASUS, a multinational company known for the world’s best motherboards, PCs, monitors, graphics cards and routers. Along with an expanding range of superior gaming, content-creation and AIoT solutions, ASUS leads the industry through cutting-edge design and innovations made to create the most ubiquitous, intelligent, heartfelt and joyful smart life for everyone. With a global workforce that includes more than 5,000 R&D professionals, ASUS is driven to become the world’s most admired innovative leading technology enterprise.

About AICS

AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region.

Responsibilities:

1. Infrastructure Management

• Design and manage cloud or on-premises infrastructure.
• Implement and maintain CI/CD pipelines.
• Ensure infrastructure is scalable, reliable, and secure.

2. Automation

• Automate repetitive tasks such as deployments, scaling, and monitoring.

3. Tooling and Frameworks

• Develop and maintain internal tools and frameworks to streamline development and deployment processes.
• Performance and Reliability
• Monitor and optimize the performance of applications and infrastructure.
  Implement strategies for disaster recovery and high availability.

Qualifications:

• 2+ years of experience in DevOps, or a related field.
• Cloud Platforms: Knowledge of Azure, Google Cloud Platform, AWS, or other cloud providers.
• Containerization: Experience with Docker, Kubernetes, and container orchestration.
• CI/CD Tools: Proficiency with Azure Pipelines, Github Actions, or similar tools.
• Scripting and Programming: Strong scripting skills (e.g., Python, Bash).
• Infrastructure as Code: Experience with Terraform, Ansible, or similar tools.
• Monitoring and Logging: Familiarity with tools like Prometheus and Grafana.

About ASUS

AICS is part of ASUS, a multinational company known for the world’s best motherboards, PCs, monitors, graphics cards and routers. Along with an expanding range of superior gaming, content-creation and AIoT solutions, ASUS leads the industry through cutting-edge design and innovations made to create the most ubiquitous, intelligent, heartfelt and joyful smart life for everyone. With a global workforce that includes more than 5,000 R&D professionals, ASUS is driven to become the world’s most admired innovative leading technology enterprise.

About AICS

The mission of ASUS Intelligent Cloud Services (AICS) is to build revolutionary healthcare solutions with natural language processing, computer vision, and big data analytics. We provide Software as a Service (SaaS) applications to accelerate the effective use of medical data and improve the efficiency of hospital operations, unleashing the power of data for precision healthcare and bringing transformative impact to the industry.

Job Responsibilities:

• Research and implement appropriate ML algorithms and tools with a focus on optimizing performance and efficiency in maintenance.
• Explore cutting-edge GenAI technology to integrate SOTA methodologies into our practice.
• Work closely with an entrepreneurial team of experienced researchers and software engineers to successfully integrate ML models to production and continue to grow our business.

Requirements:

• Bachelor’s degree or above in computer science or related field with relevant experience
• 3+ years of experience with developing machine learning models at scale
• Proven experience in NLP or CV projects, like multi-label classification, text summarization, motion detection and object recognition
• Proven experience in LLM/VLM project, hands-on experience with pretrain and instruction finetune.
• Strong programming in Python, experience with ML frameworks and libraries such as TensorFlow, PyTorch and Transformers.

Are you ready to ignite your career and be part of something truly extraordinary? At ASUS, we’re In Search of Incredible—and we want you on our team! We’re looking for dynamic, passionate individuals who are eager to innovate, create, and make waves in the tech world. If you’re fueled by ambition and thrive in a fast-paced environment where your ideas can shape the future, this is your opportunity to shine.

Join us, and let’s chase the incredible together!

AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region.

The Responsibilities:

• Hands-on technical leadership and management of day-to-day activities of the ML engineering team within an Agile/Scrum environment.
• Build and grow a best-in-class engineering team.
• Work closely with the engineers to architect and develop the best ML solutions on the public cloud, including models, pipelines, performance optimization, testing, and deployment.
• Collaborate across engineering and product teams to translate business needs into ML specifications and deliverables.
• Work with an entrepreneurial team of experienced AI researchers and software engineers to successfully ship software products and continue to grow our business.
• Report on the status of development, quality, operations, and system performance to management.
• Management of departmental resources, staffing, and mentoring.

The Requirements:

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, Electric Engineering.
• 8+ years of building successful machine learning software solutions.
• 3+ years of experience managing ML and software engineers.
• Strong machine learning and deep learning fundamentals.
• Proficiency in developing and deploying ML solutions on Azure or other public cloud providers.
• Understanding of best practices in MLOps and software development processes including coding standards, code reviews, data and model pipelines, source control (Github), and test automation/CICD

About ASUS

AICS is part of ASUS, a multinational company known for the world’s best motherboards, PCs, monitors, graphics cards and routers. Along with an expanding range of superior gaming, content-creation and AIoT solutions, ASUS leads the industry through cutting-edge design and innovations made to create the most ubiquitous, intelligent, heartfelt and joyful smart life for everyone. With a global workforce that includes more than 5,000 R&D professionals, ASUS is driven to become the world’s most admired innovative leading technology enterprise.

About AICS

The mission of ASUS Intelligent Cloud Services (AICS) is to build revolutionary healthcare solutions with natural language processing, computer vision, and big data analytics. We provide Software as a Service (SaaS) applications to accelerate the effective use of medical data and improve the efficiency of hospital operations, unleashing the power of data for precision healthcare and bringing transformative impact to the industry.

Job Responsibilities:

• Research and implement appropriate ML algorithms and tools with a focus on optimizing performance and efficiency in maintenance.
• Explore cutting-edge GenAI technology to integrate SOTA methodologies into our practice.
• Work closely with an entrepreneurial team of experienced researchers and software engineers to successfully integrate ML models to production and continue to grow our business.

Requirements:

• Bachelor’s degree or above in computer science or related field with relevant experience
• 3+ years of experience with developing machine learning models at scale
• Proven experience in NLP or CV projects, like multi-label classification, text summarization, motion detection and object recognition
• Proven experience in LLM/VLM project, hands-on experience with pretrain and instruction finetune.
• Strong programming in Python, experience with ML frameworks and libraries such as TensorFlow, PyTorch and Transformers.