2,066 AI Professionals jobs in Singapore

Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.

Responsibilities:

• Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.

• Design, train and deploy biometric models to correctly identify users

• Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions

• Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products

• Collaborate with business, product, operations and engineering teams to deliver impact for our customers

• Work independently or in a team to solve complex problem statements

Requirements:

• An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.

• Deep understanding of modern computer vision techniques, deep learning and machine learning

• Experience developing and deploying machine learning models in production

• Experience with adversarial training to enhance model robustness

• Proficient in Python, C++, Scala, or Java

• Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet

• Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.

• Experience in on-device inference for machine learning models is a plus

• Take pride in taking ownership and driving projects to have business impact

• Thrive in a fast moving collaborative environment

What are we trying to solve?

We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now.

Every year, 140 million babies are born, of which 40 million go unregistered.

Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.

At VIDA , We are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.

Why are we solving this problem?

The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.

Who are we?

We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption - Our collective goal aligns.

Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.
Responsibilities:
Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.
Design, train and deploy biometric models to correctly identify users
Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions
Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products
Collaborate with business, product, operations and engineering teams to deliver impact for our customers
Work independently or in a team to solve complex problem statements
Requirements:
An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.
Deep understanding of modern computer vision techniques, deep learning and machine learning
Experience developing and deploying machine learning models in production
Experience with adversarial training to enhance model robustness
Proficient in Python, C++, Scala, or Java
Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet
Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.
Experience in on-device inference for machine learning models is a plus
Take pride in taking ownership and driving projects to have business impact
Thrive in a fast moving collaborative environment
What are we trying to solve?
We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now.
Every year, 140 million babies are born, of which 40 million go unregistered.
Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.
AtVIDA, We are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.
Why are we solving this problem?
The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.
Who are we?
We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption - Our collective goal aligns.
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Implement AI models for 3D data generation using deep learning techniques. Strong experience in 3D computer vision and 3D graphics required. Responsibilities include data preprocessing and feature engineering. Expert in GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

LOCATION

EMPLOYMENT TYPE

Permanent

1. Developing and implementing deep learning models for 3D data, such as point clouds, voxel grids, and triangle meshes.
2. Training and fine-tuning deep learning models on large datasets of 3D data, such as 3D scans of real-world objects and environments.
3. Using deep learning to extract features and representations from 3D data, such as object segmentation, surface normal estimation, and 3D object recognition.
4. Researching and implementing new techniques for 3D deep learning, such as point cloud convolutional neural networks and volumetric convolutional neural networks.
5. Collaborating with other engineers and researchers to integrate 3D deep learning models into other systems, such as robotics and autonomous vehicles.
6. Building and deploying 3D deep learning models on various platforms, including cloud, edge, and mobile devices.
7. Optimizing the performance of 3D deep learning models, including reducing memory and computational requirements and improving inference speed.
8. Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.
9. Keeping up with current research and developments in the field of 3D deep learning and identifying new opportunities for applying 3D deep learning to real-world problems.
10. Utilizing NVIDIA's deep learning frameworks, such as CUDA, cuDNN, and TensorRT, to optimize the performance of 3D deep learning models.
11. Using NVIDIA's Jetson platform for deploying deep learning models on edge devices.
12. Using NVIDIA's GPU-accelerated cloud platforms, such as NVIDIA GPU Cloud (NGC), for training and deploying deep learning models in the cloud.
13. Leveraging NVIDIA's AI-specific hardware, such as the NVIDIA A100 Tensor Core GPU, for faster and more efficient training and inference of deep learning models.
14. Utilizing NVIDIA's AI development tools, such as DeepStream and Isaac, to develop and deploy AI-powered applications for robotics and autonomous systems.
15. Using NVIDIA's Clara platform for medical imaging and other 3D data analysis.
16. Utilizing NVIDIA's Omniverse platform for creating and training models in virtual environments.

1. Strong technical skills: A 3D Deep Learning Engineer should have a solid understanding of deep learning and computer vision, as well as experience with programming languages such as Python and C++.
2. Experience with 3D data: You should have experience working with 3D data, such as point clouds, voxel grids, and triangle meshes, and should be familiar with the techniques and algorithms used for processing 3D data.
3. Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and NVIDIA's CUDA, cuDNN, and TensorRT, and should be familiar with the techniques used to optimize the performance of deep learning models.
4. Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
5. Attention to detail: You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.
6. Strong communication skills: You should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
7. Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
8. Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
9. Team Player: You should have good collaboration skills and be able to work well in a team environment.
10. Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.

Deep Learning Research Scientist

We are seeking a highly skilled and innovative Deep Learning Research Scientist to pioneer AI-driven approaches in drug discovery, leveraging unique datasets and cutting-edge technologies.

• Develop and train advanced deep learning models to transform the drug development process.
• Work with large multimodal datasets, including drug screening results, genomic data, and electronic health records.
• Contribute to the discovery of new antibiotics and the design of novel diagnostic tests.
• Collaborate with experts in biology and computer science to advance our research goals.
• Publish research findings in leading scientific journals.

• Bachelor's or Master's degree in Computer Science, Bioinformatics, or a related field.
• Proven experience in training large deep learning models using popular frameworks like TensorFlow or PyTorch.
• Familiarity with reinforcement learning, generative AI, or statistical modeling is a significant advantage.
• Experience working with large biological datasets or healthcare records is desirable, but a strong willingness to learn is equally valued.

Machine Learning, Cell Biology, Hospitals, Statistical Modeling, DNA, Treatment, Healthcare, Medicine, Career Development, Biology, Drug Discovery, Bioinformatics

The successful candidate will have the opportunity to work on cutting-edge projects, collaborate with world-renowned experts, and publish research findings in top-tier scientific journals. We offer a dynamic and supportive work environment, competitive salary, and opportunities for career growth and professional development.

Implement AI models for 3D data generation using deep learning techniques. Strong experience in 3D computer vision and 3D graphics required. Responsibilities include data preprocessing and feature engineering. Expert in GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
LOCATION
EMPLOYMENT TYPE
Permanent
What You’ll Do
Developing and implementing deep learning models for 3D data, such as point clouds, voxel grids, and triangle meshes.
Training and fine-tuning deep learning models on large datasets of 3D data, such as 3D scans of real-world objects and environments.
Using deep learning to extract features and representations from 3D data, such as object segmentation, surface normal estimation, and 3D object recognition.
Researching and implementing new techniques for 3D deep learning, such as point cloud convolutional neural networks and volumetric convolutional neural networks.
Collaborating with other engineers and researchers to integrate 3D deep learning models into other systems, such as robotics and autonomous vehicles.
Building and deploying 3D deep learning models on various platforms, including cloud, edge, and mobile devices.
Optimizing the performance of 3D deep learning models, including reducing memory and computational requirements and improving inference speed.
Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.
Keeping up with current research and developments in the field of 3D deep learning and identifying new opportunities for applying 3D deep learning to real-world problems.
Utilizing NVIDIA's deep learning frameworks, such as CUDA, cuDNN, and TensorRT, to optimize the performance of 3D deep learning models.
Using NVIDIA's Jetson platform for deploying deep learning models on edge devices.
Using NVIDIA's GPU-accelerated cloud platforms, such as NVIDIA GPU Cloud (NGC), for training and deploying deep learning models in the cloud.
Leveraging NVIDIA's AI-specific hardware, such as the NVIDIA A100 Tensor Core GPU, for faster and more efficient training and inference of deep learning models.
Utilizing NVIDIA's AI development tools, such as DeepStream and Isaac, to develop and deploy AI-powered applications for robotics and autonomous systems.
Using NVIDIA's Clara platform for medical imaging and other 3D data analysis.
Utilizing NVIDIA's Omniverse platform for creating and training models in virtual environments.
Who You Are
Strong technical skills: A 3D Deep Learning Engineer should have a solid understanding of deep learning and computer vision, as well as experience with programming languages such as Python and C++.
Experience with 3D data: You should have experience working with 3D data, such as point clouds, voxel grids, and triangle meshes, and should be familiar with the techniques and algorithms used for processing 3D data.
Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and NVIDIA's CUDA, cuDNN, and TensorRT, and should be familiar with the techniques used to optimize the performance of deep learning models.
Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
Attention to detail: You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.
Strong communication skills: You should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
Team Player: You should have good collaboration skills and be able to work well in a team environment.
Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.
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Join to apply for the
Data Science & AI Researcher
role at
Internal Security Department
1 week ago Be among the first 25 applicants
What The Role Is
ISD confronts and addresses threats to Singapore’s internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.
ISD utilises state-of-the-art technology and technical know-how to safeguard Singapore’s internal security, stability, and sovereignty. We are seeking a highly motivated AI researcher to conduct deep applied AI research to contribute to the collective understanding of AI, specializing in areas such as generative AI/large language models, and machine learning and reasoning.
What You Will Be Working On
Leading in designing the research and experiment methodology in artificial intelligence, including in generative AI/large language models, and machine learning and reasoning.
Conduct independent research to identify innovative AI technologies for niche intelligence use cases.
Develop prototypes and proof-of-concept applications to demonstrate the potential of AI research findings.
Engage with academia, research institutes, and industry partners on joint research projects.
Stay abreast of the latest AI research and trends to inform project direction and methodologies.
Collaborate with interdisciplinary teams to integrate AI technologies into products and services.
Contribute to the development of AI research strategies and roadmaps.
Communicate complex AI research concepts to stakeholders, including non-technical audiences.
What We Are Looking For
PhD or equivalent in Mathematics, Computer Science, Statistics, Engineering, Artificial Intelligence, or any quantitative disciplines, or equivalent competencies.
At least 3 years of experience in research and development, preferably in areas such as natural language processing (including large language models), autonomous systems, high-dimensional statistics, or applied mathematics.
Proficiency in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, and Hugging Face.
Hands-on experience with LLM architectures such as GPT, BERT, T5, and their application to real-world tasks.
Strong analytical, problem-solving, and communication skills, with the ability to work under tight deadlines and collaborate across teams.
Only Singaporeans need apply.
Additional Details
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
Industries: Government Administration and Industrial Machinery Manufacturing
Referrals increase your chances of interviewing at Internal Security Department by 2x.
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About the Role:
We are building Sahabat-AI, a multilingual Large Language Model tailored for Bahasa Indonesia and regional languages. We are looking for a passionate Lead Data Scientist to help shape the future of open and inclusive AI for Indonesia, as well as playing a pivotal role in identifying impactful AI use cases. As a Lead Data Scientist working on LLMs, you will design and build high-quality datasets, advanced model pre-training, fine tuning and and alignment techniques, and collaborate closely with product and engineering teams to ship safe, reliable LLM-powered features to millions of users. This role offers the opportunity to drive innovation, solve critical business challenges, and shape the future of AI-driven solutions at GoTo Group.
What You Will Do
Work with large-scale multilingual corpora, including text, audio, and image modalities
Build high-quality datasets for both continual pretraining,post-training (SFT, RLHF, DPO), and benchmark evaluation
Contribute to the training and scaling of multilingual LLMs – from continual pretraining to supervised fine-tuning and alignment.
Implement state-of-the-art methods and research for efficient and scalable operations.
Implement and improve safety alignment and guardrail systems to ensure responsible and culturally appropriate model behaviour.
Collaborate closely with business/product engineers to deploy production-grade LLM-powered solutions.
Stay current with advancements in AI technologies. Frontier models, training methodologies, etc
What You Will Need
7+ years of experience in deep learning, NLP, and LLM
Understanding in computer vision and voice will be a plus point
Proficient in data preprocessing, model training, evaluation, and optimisation.
Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments.
Proficient with Python and deep learning frameworks such as PyTorch or Tensorflow.
Experience with cloud platforms like Alibaba Cloud, GCP or AWS.
Strong communication skills to understand business needs and effectively convey analytical solutions.
Ability to write clear and concise technical documentation.
A Master’s or PhD in Computer Science, Data Science, AI, or a related field.
About the Team:
The Sahabat-AI team is on a mission to build the most capable and culturally-aligned multilingual LLMs for Indonesia. At GoTo Group, the Sahabat-AI team is at the forefront of developing state-of-the-art language models. We are building foundational AI models that understand and generate Bahasa Indonesia and regional languages – empowering more inclusive technology. We work on everything from continual pretraining large-scale LLMs to alignment and safety fine-tuning, using both structured and unstructured data from diverse sources. Our projects span core model development, dataset curation, safety systems, and real-world deployment in consumer and enterprise applications. Our team brings together members with diverse technical and cultural backgrounds, bringing expertise in machine learning and local languages.
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels onour respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
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Join our innovative IT Team – Shape the future of technology!

Are you passionate about solving complex problems and driving digital transformation? We are seeking a versatile and skilled AI Engineer to design, develop, and integrate Generative AI solutions across our suite of applications. In this role, you will contribute to various projects, leveraging your backend engineering expertise to deliver tangible results. You will be responsible for building intelligent features, from chatbots to AI-powered content tools, by connecting our systems to large language models (LLM) and implementing sophisticated RAG architectures.

Key Responsibilities

• Architect and build production-ready AI features and services within our backend systems
• Implement and optimize end-to-end AI workflows, including Retrieval-Augmented Generation (RAG), prompt engineering, and function calling to solve specific business problems.
• Develop and maintain robust RESTful APIs to connect our AI services with various front-end and back-end components.
• Utilize AI orchestration frameworks (e.g., LangChain) to manage complex interactions with LLM APIs efficiently and reliably.
• Monitor and improve the latency, accuracy, and cost-effectiveness of our AI systems.
• Work within an agile environment, collaborating closely with product managers and other engineers to deliver high-impact solutions.

Qualifications & Skills

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2+ years of professional software development experience.
• Strong proficiency in at least one of our primary backend languages: Node.js or JAVA. Experience working in a polyglot environment is highly desirable.
• Proven experience building applications using managed AI services on major cloud platforms (e.g., Azure OpenAI, Google Vertex AI, AWS Bedrock).
• Hands-on experience with the concepts and implementation of RAG, embeddings, and vector stores.
• Familiarity with AI orchestration frameworks like LangChain.
• Solid experience with API design (REST) and microservices architecture.
• Experience with containerization (Docker) and CI/CD workflows.
• A proactive problem-solver with strong communication skills and the ability to adapt to new challenges and technologies.

Artificial Intelligence Specialist

We are seeking an experienced Artificial Intelligence Specialist to contribute to the development of AI-powered systems and autonomous agents.

This role offers a unique opportunity to learn and apply both traditional machine learning and modern LLM-based approaches to solve complex problems in financial markets.

The ideal candidate will have a solid foundation in programming, data analysis, and machine learning algorithms.

Key Responsibilities:

• Design and implement artificial intelligence solutions for financial markets
• Support the development of intelligent systems using traditional ML approaches and modern agentic frameworks
• Apply quantitative methods and data mining techniques to extract insights from financial datasets
• Build AI pipelines for model development, backtesting, and production deployment
• Develop risk assessment and portfolio optimization systems using AI-driven approaches
• Participate in code reviews, documentation, and knowledge sharing to continuously improve technical skills

Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Financial Engineering, or related quantitative field
• 0-2 years of professional experience in machine learning, data science, or software engineering
• Solid programming skills in Python with familiarity with scientific computing libraries (pandas, numpy, scikit-learn)
• Foundational knowledge of machine learning including supervised/unsupervised learning, basic deep learning concepts, and statistical modeling
• Strong mathematical and analytical foundation with ability to learn and apply quantitative concepts to practical problems