1,242 Artificial Intelligence jobs in Singapore

Skywork AI Singapore welcomes enthusiastic and forward-thinking research scientists to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore's R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us to the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

• Conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents.
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

• Relevant work experience in a University or industrial settings, with a primary focus on AI exploration.
• Experience in leading projects and teams
• Hold an esteemed Ph.D. degree in computer science, statistics, engineering, applied mathematics, data science, or related fields.
• Being acknowledged as a first-author contributor to prestigious peer-reviewed conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and top-tiered journals (e.g., TPAMI, JMLR, AIJ), or have authored publications in renowned CNS (Cell, Nature and Science).
• Proficiency in any prominent differentiable programming frameworks, such as PyTorch, TensorFlow, and JAX, is highly desirable.
• Showcase a track record of leadership in spearheading substantial research projects.
• Attain esteemed recognition within the academic and professional community.
• Proven track record of delivering high-impact research outcomes.
• Preferrable honored recipient of best paper awards or equivalent in top-tiered conferences.
• Preferrable celebrated victory in international academic competitions.

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to - to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Founded in Hong Kong in 1997, PC Partner has grown from a small contract manufacturer with fewer than 300 employees to a global leader in computer electronics. We design and sell our own branded products, including video graphics cards, Mini-PCs, motherboards, embedded systems, and gaming hardware, while also providing one-stop electronic manufacturing services to reputable brands worldwide. Leveraging our advanced R&D capabilities and state-of-the-art production facilities, we continually introduce innovative products to the market, staying ahead of industry trends to ensure competitiveness and meet the evolving needs of our customers.

We are seeking an AI Engineer to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.
• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship.

Job Summary

We are seeking a highly skilled Artificial Intelligence Senior Engineer to join our team. The ideal candidate will work on AI programming by leveraging open-source solutions and proprietary code. The candidate will be responsible for developing, optimising, and deploying AI models, integrating them into scalable applications, and ensuring their performance meets business objectives.

Key Responsibilities

• Develop and optimise AI solution by leveraging open-source and proprietary code.
• Build scalable AI solutions using cloud services, data pipelines, and databases.
• Implement Natural Language Processing (NLP) and Large Language Models (LLMs) and other AI frameworks.
• Design, develop, and deploy RESTful APIs for AI applications.
• Apply Retrieval Augmented Generation (RAG) techniques to enhance AI responses.
• Implement prompt engineering techniques such as instruction design, template-based approaches, and fine-tuning strategies.
• Ensure AI models comply with best practices, including Continuous Integration and Continuous Delivery/Deployment (CI/CD) processes and test-driven development.
• Conduct rigorous testing and evaluation of AI models, ensuring accuracy and efficiency.
• Stay up-to-date with the latest Artificial Intelligence and Machine Learning technologies and industry trends.
• Work closely with stakeholders to translate business needs into AI-driven solutions.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 2+ years of experience in AI engineering.
• Proficiency in Python; additional experience in , TypeScript, C#, or Java is a plus.
• Strong knowledge of machine learning concepts and deep learning including neural networks, optimization algorithms, and evaluation metrics.
• Knowledge of SQL and data manipulation for AI applications.
• Knowledge of Langchain for application development
• Strong understanding of algorithms, data structures, and their applications in AI/ML.
• Familiarity with CI/CD processes, test-driven development, and scalable AI deployment.
• Strong analytical and problem-solving skills, capable of managing multiple projects.
• Ability to communicate complex technical concepts effectively to non-technical stakeholders.
• Ability to work effectively in a collaborative, team-oriented environment.
• Hands-on experience with machine learning frameworks, such as TensorFlow and PyTorch, is a plus
• Experience in building AI solutions on cloud platforms (AWS, Azure, GCP) is a plus
• Ability to communicate with Chinese-speaking clients is a plus

Description

We're seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.

Key Responsibilities:

• Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges.
• Design scalable data pipelines and preprocess datasets for training and inference.
• Collaborate with cross-functional teams to integrate AI models into existing systems.
• Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
• Conduct error analysis and improve models to address bias, fairness, and explainability.
• Document technical processes and results, ensuring knowledge sharing within teams.

What We're Looking For:

Technical Skills:

• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
• Expertise in at least one domain:
• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• Generative AI (e.g., GPT, Stable Diffusion)
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
• Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).

Soft Skills:

• Ability to explain complex AI concepts to non-technical stakeholders.
• Strong problem-solving and critical-thinking skills.
• Passion for continuous learning and staying updated with the latest AI trends.

Requirements

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
• Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

Benefits

• Exposure to international markets and the opportunity to work with a diverse team
• Flexible remote working arrangements
• Innovative environment

At Substance, we're all about action, not just talk. If your profile aligns with what we need, you'll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we'll be ready to make it happen.

Pte. Ltd. | EA License No: 24C2398

We are seeking a highly motivated and experienced AI/ML Engineer to join our innovative team. The successful candidate will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that drive our services forward.

This role requires a strong understanding of machine learning principles, proficiency in relevant programming languages and frameworks, and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications.

Qualifications

Required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in AI/ML engineering or a similar role.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred:

• Experience with distributed computing frameworks (e.g., Spark, Hadoop).
• Knowledge of deep learning architectures and techniques.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Contributions to open-source AI/ML projects.

• For Singapore Applicants Only : PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Job Summary:

We are seeking an AI Engineer to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities:

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training .
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems .
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies .
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
  Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

Requirements:

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch , particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows , Linux , mobile operating systems (iOS, Android) and embedded systems .
• Strong programming skills in Python , Java and C++ , with experience in GPU-accelerated computing using CUDA and TensorRT .
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson , Google Coral , and ARM Cortex .
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship .

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.
• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship.

• Conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents.
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into Skywork AI's core products.

• Relevant work experience in a University or industrial settings, with a primary focus on AI exploration.
• Experience in leading projects and teams
• Hold an esteemed Ph.D. degree in computer science, statistics, engineering, applied mathematics, data science, or related fields.
• Being acknowledged as a first-author contributor to prestigious peer-reviewed conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and top-tiered journals (e.g., TPAMI, JMLR, AIJ), or have authored publications in renowned CNS (Cell, Nature and Science).
• Proficiency in any prominent differentiable programming frameworks, such as PyTorch, TensorFlow, and JAX, is highly desirable.
• Showcase a track record of leadership in spearheading substantial research projects.
• Attain esteemed recognition within the academic and professional community.
• Proven track record of delivering high-impact research outcomes.
• Preferrable honored recipient of best paper awards or equivalent in top-tiered conferences.
• Preferrable celebrated victory in international academic competitions.

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in AI/ML engineering or a similar role.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

• Experience with distributed computing frameworks (e.g., Spark, Hadoop).
• Knowledge of deep learning architectures and techniques.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Contributions to open-source AI/ML projects.