What Jobs are available for AI Powered Systems in Singapore?
Showing 458 AI Powered Systems jobs in Singapore
Generative AI Development Traineeship GRIT@Gov
Posted today
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Job Description
(What the role is)
The Enterprise Knowledge Department (EKD) is seeking an innovative Generative AI Engineer to join our Data & Tech Solutions team. As part of the Economics & Knowledge Management Group, you'll work with a dynamic team passionate about revolutionising how we manage, discover, and generate data through cutting-edge AI solutions. You'll thrive in our fast-paced environment where adaptability and multi-tasking are essential.
(What you will be working on)
As a Generative AI Engineer, you will architect and deploy state-of-the-art generative AI models that transform how we create, process, and retrieve information. You will work at the intersection of large language models, content generation, and business automation, collaborating with cross-functional teams to deliver innovative solutions.
Key Responsibilities:
- Design and implement generative AI solutions that align with business requirements and use cases
- Develop and optimise large language models and generative AI architectures for text, code, and data generation
- Fine-tune and deploy foundation models while ensuring responsible AI practices and ethical considerations
- Create and maintain prompt engineering frameworks and evaluation metrics
- Build robust AI pipelines that integrate with existing systems and workflows
- Conduct experiments to improve model performance, efficiency, and output quality
- Implement safeguards and controls for AI-generated content
- Stay current with rapid developments in generative AI and implement emerging best practices
- Collaborate with stakeholders to identify opportunities for AI-driven process automation
(What we are looking for)
- Degree in Computer Science, AI/ML, or related field. Advanced degree is a plus
- Strong programming skills in Python, with experience in modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Hands-on experience with large language models (e.g., GPT family, BERT, T5)
- Understanding of transformer architectures, attention mechanisms, and prompt engineering
- Experience with model fine-tuning, few-shot learning, and prompt optimization
- Familiarity with AI deployment platforms and MLOps practices
- Knowledge of responsible AI principles and ethical considerations
- Proficiency with version control and collaborative development workflows
- Experience with API development and integration
- Strong problem-solving abilities and analytical mindset
- Excellent communication skills for technical and non-technical audiences
- Self-motivated with the ability to work independently
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.
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Research Engineer (Software & AI Development) - HT1
Posted today
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Job Description
Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Singapore Application Deadline 26 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.
We are seeking a motivated
Research Engineer
to join our team in developing an
AI Training Studio — an innovative platform for
AI-vision-based quality inspection in manufacturing plants . The system will enable users to
drag and drop foundational AI models
to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control.
You will contribute to both the
backend development
(pipeline orchestration, inference deployment) and the
frontend interface
(user-friendly drag-and-drop studio, similar to visual workflow tools). This role is ideal for an engineer eager to gain experience in building applied AI systems that bridge research and industrial deployment.
Key Responsibilities
Design and implement pipeline orchestration for drag-and-drop AI model workflows.
Build APIs to manage model training, deployment, and inference.
Automate the process of pushing trained models into an inference engine.
Frontend Development
Develop an intuitive drag-and-drop web interface for building AI pipelines (similar to the attached prototype).
Enable users to configure model parameters, connect modules, and monitor training progress.
Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time.
System Integration
Work with the research team to connect AI pipelines to robotic control systems.
Support the deployment of trained pipelines in manufacturing testbeds.
Job Requirements
Have relevant competence in the areas of software and AI development.
Have a degree in IT or Engineering.
Experience in AI and any programming language will be advantageous.
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Research Engineer (Software & AI Development) - HT1
Posted today
Job Viewed
Job Description
Overview
Research Engineer (Software & AI Development) - HT1
Posting Start Date: 25/09/2025 • Schemes of Service: Research • Division: Engineering • Employment Type: Fixed Term
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are seeking a motivated
Research Engineer
to join our team in developing an
AI Training Studio
— an innovative platform for
AI-vision-based quality inspection in manufacturing plants . The system will enable users to
drag and drop foundational AI models
to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the
backend development
(pipeline orchestration, inference deployment) and the
frontend interface
(user-friendly drag-and-drop studio, similar to visual workflow tools). This role is ideal for an engineer eager to gain experience in building applied AI systems that bridge research and industrial deployment.
Responsibilities
Backend Development
Design and implement pipeline orchestration for drag-and-drop AI model workflows.
Integrate foundational models (classification, detection, segmentation, enhancement) into modular pipelines.
Build APIs to manage model training, deployment, and inference.
Automate the process of pushing trained models into an inference engine.
Frontend Development
Develop an intuitive drag-and-drop web interface for building AI pipelines (similar to the attached prototype).
Enable users to configure model parameters, connect modules, and monitor training progress.
Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time.
System Integration
Work with the research team to connect AI pipelines to robotic control systems.
Support the deployment of trained pipelines in manufacturing testbeds.
Qualifications
Have relevant competence in the areas of software and AI development.
Have a degree in IT or Engineering.
Experience in AI and any programming language will be advantageous.
Not applicable: Seniority level
Contract employment type
Job function: Engineering and Information Technology • Industries: Higher Education
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AI Software Development
Posted today
Job Viewed
Job Description
- Core Responsibilities
a. AI Model Development
Design, train, test, and optimize machine learning (ML) or deep learning (DL) models (e.g., for NLP, computer vision, recommendation systems, etc.).
Select appropriate algorithms (e.g., CNNs, RNNs, Transformers, LLMs).
Fine-tune pre-trained models (e.g., OpenAI, Hugging Face, TensorFlow Hub models).
b. Data Preparation & Engineering
Collect, clean, and preprocess large datasets (structured or unstructured).
Build data pipelines for continuous training and model updates.
Use tools like Pandas, PySpark, or SQL for data manipulation.
c. System Integration
Integrate AI models into software systems, APIs, or web/mobile applications.
Collaborate with backend engineers to deploy models (e.g., using FastAPI, Flask, or REST endpoints).
Ensure scalable and efficient inference performance in production.
d. Research & Innovation
Stay current with new AI research papers and techniques.
Prototype new ideas (e.g., reinforcement learning, multimodal AI, generative AI).
Evaluate performance with metrics (accuracy, F1-score, BLEU, ROC-AUC, etc.).
- Technical Skills Required
Category Key Tools / Frameworks
Programming Python, C++, Java, or R
ML Frameworks TensorFlow, PyTorch, Scikit-learn
Data Tools NumPy, Pandas, SQL, Apache Spark
Deployment Docker, Kubernetes, AWS/GCP/Azure, ONNX
MLOps MLflow, Airflow, Kubeflow, CI/CD
Version Control Git, GitHub/GitLab
Visualization Matplotlib, Seaborn, Tableau, Power BI
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AI Software Development
Posted today
Job Viewed
Job Description
Core Responsibilities
AI Model Development
Design, train, test, and optimize machine learning (ML) or deep learning (DL) models (e.g., for NLP, computer vision, recommendation systems, etc.).
Select appropriate algorithms (e.g., CNNs, RNNs, Transformers, LLMs).
Fine-tune pre-trained models (e.g., OpenAI, Hugging Face, TensorFlow Hub models).
Data Preparation & Engineering
Collect, clean, and preprocess large datasets (structured or unstructured).
Build data pipelines for continuous training and model updates.
Use tools like Pandas, PySpark, or SQL for data manipulation.
System Integration
Integrate AI models into software systems, APIs, or web/mobile applications.
Collaborate with backend engineers to deploy models (e.g., using FastAPI, Flask, or REST endpoints).
Ensure scalable and efficient inference performance in production.
Research & Innovation
Stay current with new AI research papers and techniques.
Prototype new ideas (e.g., reinforcement learning, multimodal AI, generative AI).
Evaluate performance with metrics (accuracy, F1-score, BLEU, ROC-AUC, etc.).
Technical Skills Required
Programming
— Python, C++, Java, or R
ML Frameworks
— TensorFlow, PyTorch, Scikit-learn
Data Tools
— NumPy, Pandas, SQL, Apache Spark
Deployment
— Docker, Kubernetes, AWS/GCP/Azure, ONNX
MLOps
— MLflow, Airflow, Kubeflow, CI/CD
Version Control
— Git, GitHub/GitLab
Visualization
— Matplotlib, Seaborn, Tableau, Power BI
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AI Software Development
Posted 5 days ago
Job Viewed
Job Description
1. Core Responsibilities
a. AI Model Development
Design, train, test, and optimize machine learning (ML) or deep learning (DL) models (e.g., for NLP, computer vision, recommendation systems, etc.).
Select appropriate algorithms (e.g., CNNs, RNNs, Transformers, LLMs).
Fine-tune pre-trained models (e.g., OpenAI, Hugging Face, TensorFlow Hub models).
b. Data Preparation & Engineering
Collect, clean, and preprocess large datasets (structured or unstructured).
Build data pipelines for continuous training and model updates.
Use tools like Pandas, PySpark, or SQL for data manipulation.
c. System Integration
Integrate AI models into software systems, APIs, or web/mobile applications.
Collaborate with backend engineers to deploy models (e.g., using FastAPI, Flask, or REST endpoints).
Ensure scalable and efficient inference performance in production.
d. Research & Innovation
Stay current with new AI research papers and techniques.
Prototype new ideas (e.g., reinforcement learning, multimodal AI, generative AI).
Evaluate performance with metrics (accuracy, F1-score, BLEU, ROC-AUC, etc.).
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Data Science
Posted today
Job Viewed
Job Description
Location
Singapore, Singapore
Job type
Part-Time
Work mode
Hybrid
Job level
Internship & working student
Job ID
10724
Company
Munich Re
Employment type
Temporary
Area of expertise
Data, BI & Analytics
This is an exciting opportunity to be part of Munich Re's Regional AI/Analytics Team (RAC) in Singapore for a 6-month full-time internship starting in October 2025. This role is designed for aspiring talents interested in the intersection of data science and next-generation AI technologies. You will be part of a dynamic, cross-functional team supporting Munich Re's Life and Health business across Asia-Pacific, the Middle East, and Africa. The internship offers hands-on exposure to cutting-edge AI tools—including large language models (LLMs)—and their real-world applications in insurance.
Your Role
Collaborate with the regional analytics team to design, test, and evaluate Gen-AI solutions that support business functions such as underwriting, claims, and operations.
Explore and implement prompt engineering strategies for LLMs to address insurance-specific use cases.
Support the enhancement of OCR and Document AI capabilities, including layout parsing, visual document analysis, and structured data extraction.
Contribute to building datasets, experimenting with RAG pipelines, agentic AI frameworks, and refining prompts to improve model performance.
Write clean, modular Python code to develop data pipelines, model prototypes, or Gen-AI system integrations.
Assist in evaluating model performance and iteratively improve system robustness and reliability.
Work alongside actuaries, data scientists, and domain experts across the APAC, Middle East, and Africa regions.
Support documentation, technical presentations, and high-quality demos for internal and external stakeholders.
Your Profile
Pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related technical field.
Familiar with generative AI tools (e.g., ChatGPT, Gemini, or open-source LLMs) and the basics of prompt engineering.
Strong interest or foundational knowledge in OCR, LLMs, and agentic AI frameworks.
Proficient in Python; familiarity with SQL and/or JavaScript is a plus.
Experience using or building demos with Streamlit, Gradio, or modern web frameworks like React or Vue.
Curious, self-motivated, and eager to learn in a rapidly evolving AI landscape.
At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us
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Data Science
Posted today
Job Viewed
Job Description
Reporting to the Head, AI Office, you will provide administrative support in the planning and budgeting for projects to the CGH Artificial Intelligence and Digital (AID) Committee, CGH Chief Data and Digital Officer (CDDO) for Artificial Intelligence and Digital projects.
Responsibilities:
- Provide administrative support in the planning and project management for AID Deployment with PI/PL, CGH stakeholders and Synapxe
- Support in secretariat role to manage AID Comm schedules, draft minutes of meetings and follow up on actionables
- Support regular progress updates for AID and RIE Comm on Deployment Projects such as issues escalation, risk reporting and co-ordinate effective resolution
- Manage AI Office portal and ensure periodic updates to AI and Digitalisation projects repository
- Organise and contribute to CGH Enterprise AI Awareness roadshows, and AI webinars
Requirements:
- Diploma holder in any discipline with interest in AI and Automation technologies
- Preferably with 1 to 3 years in IT Project Management, Informatics in the healthcare or services industry
- Those with working knowledge of Generative AI tools, AI/ML Lifecycle projects, and/or, advanced analytics deployment for Machine Learning / AI / Deep Learning, would be advantageous
- Good communications and people skills
- Good writing skills for policy and grant documentations
- Good presentation skills with awareness of Generative AI applications
- Good problem-solving skills
- A team player and able to work with multidisciplinary project teams
Only shortlisted candidates will be notified.
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Manager - Data Science
Posted 14 days ago
Job Viewed
Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**Functional Description**
Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers' digital experiences.
This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.
**Responsibilities:**
+ Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
+ Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
+ Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
+ Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
+ Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer's online and mobile app experiences.
+ Work with product owners to revolutionize the product and content design with a data-driven approach
+ Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
+ Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
+ Lead, engage, and inspire a large team of high performing risk management professionals
**Qualifications:**
+ PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
+ Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
+ Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
+ Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
+ Ability to work effectively in a team environment
+ Independent thinker who's organized, has great attention to detail, and can multi-task
+ Strong communication skills
+ Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
+ Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
+ Ability to learn quickly and work independently with sophisticated, unstructured initiatives
+ Ability to integrate with cross-functional business partners worldwide
+ Proficient in presentation tools, including Excel and PowerPoint
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:**
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Manager - Data Science
Posted 14 days ago
Job Viewed
Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.
**Role Overview:**
As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.
**Key Responsibilities:**
+ Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
+ Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
+ Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
+ Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
+ Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.
**Qualifications:**
+ Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
+ Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
+ Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
+ Solid understanding of Large Language Models and practical experience with Generative AI
+ Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
+ Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
+ Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:**
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