659 AI & Emerging Technologies jobs in Singapore

Job ID: 8149

Job Function: Administration

Institution: National University Health System

Reporting to the Deputy Group Chief Technology Officer, you will support in building and maintaining secure, scalable, and compliant healthcare applications that integrate with electronic health records (EHRs), AI-driven analytics, and cloud-based systems. The incumbent will propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster.

You will be responsible for the following:

• Develop and maintain web applications using Python, HTML, and ReactJS.
• Collaborate with the design team to create user-friendly and visually appealing interfaces.
• Write clean, maintainable, and efficient code following best practices.
• Perform code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug issues across the entire stack.
• Optimize applications for maximum speed and scalability.
• Stay updated on emerging technologies and trends in web development.
• Work closely with cross-functional teams to gather requirements and translate them into technical solutions.
• Participate in sprint planning, daily stand-ups, and other agile ceremonies.
• Design, develop, test and deploy AI powered chatbot, dashboard, and applications.
• Develop, test, and deploy healthcare software applications that support EHR integration, AI-driven diagnostics, telemedicine, and other healthcare workflows.
• Design and implement APIs and microservices to facilitate secure data exchange between healthcare systems.
• Ensure compliance with healthcare regulations (HIPAA, GDPR, HITRUST) and implement secure authentication/authorization mechanisms (OAuth, OpenID, JWT).
• Optimize application performance and scalability for handling large volumes of medical data and real-time patient monitoring.
• Collaborate with UI/UX designers to create intuitive and accessible healthcare applications for clinicians and patients.
• Work with cloud-based healthcare infrastructures, particularly AWS (Lambda, S3, RDS, Fargate, DynamoDB, CloudWatch) to deploy and maintain applications.
• Support and maintain existing healthcare applications, troubleshooting bugs, improving performance, and adding new features based on user feedback.
• Integrate AI and machine learning models into clinical workflows to enhance predictive analytics and automated decision-making.
• All other responsibilities that are requested by the Reporting Officer.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software development, preferably in healthcare technology.
• Proficiency in one or more backend programming languages (Python, Java, C#, .NET, Node.js).
• Experience with frontend frameworks (React, Angular, Vue.js) for building healthcare applications.
• Strong knowledge of RESTful and GraphQL APIs, web services, and data exchange formats (JSON, XML).
• Experience with healthcare data standards (HL7, FHIR, DICOM, X12, SNOMED, LOINC).
• Familiarity with database technologies, including relational (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with cloud computing (AWS, Azure, or Google Cloud).
• Understanding of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Strong problem-solving skills with the ability to work in fast-paced healthcare environments.
• Experience developing AI-driven healthcare solutions (e.g., AI-assisted diagnostics, NLP for clinical notes, predictive analytics).
• Knowledge of interoperability protocols such as SMART on FHIR.
• Experience with mobile healthcare application development (iOS/Android, Flutter, React Native).
• Familiarity with hospital IT environments, PACS, and medical imaging systems.
• AWS Certified Developer or Azure Solutions Architect Certification.
• Excellent communication and presentation skills to effectively convey analytical findings to both technical and non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.
• Work as a team member to fulfill requirements and tasks assigned by the Reporting Officer.

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.

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 ID: 8714

Job Function: Administration

Institution: National University Health System

We are seeking a talented Robotics Fleet Management Developer to join our team. As a Robotics Fleet Management Developer, you will be responsible for designing, developing, and maintaining software solutions for managing fleets of robotic systems. Your work will play a crucial role in optimizing the performance, efficiency, and coordination of robotic fleets across various applications and industries.

• Design and develop software systems for fleet management, including task allocation, scheduling, routing, and coordination of robotic resources.
• Implement algorithms and protocols for communication, localization, and synchronization of robotic agents within the fleet.
• Integrate with existing robotic platforms and control systems to enable centralized fleet management capabilities.
• Develop user interfaces and dashboards for monitoring and controlling robotic fleets, providing real-time visibility into system status and performance.
• Collaborate with cross-functional teams to define requirements and specifications for fleet management software, incorporating feedback from stakeholders and end-users.
• Conduct testing and validation to ensure the reliability, scalability, and robustness of fleet management solutions in real-world environments.
• Provide technical support and troubleshooting for deployed fleet management systems, addressing issues and implementing enhancements as needed.

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.
• Proven experience in software development for robotics or autonomous systems, with a focus on fleet management or multi-robot coordination.
• Proficiency in programming languages such as Python, C++, or Java, as well as software frameworks and libraries for robotics (e.g., ROS, ROS 2).
• Strong understanding of robotics principles, including motion planning, localization, and communication protocols.
• Experience with distributed systems, network protocols, and cloud computing platforms for scalable fleet management.
• Familiarity with simulation tools (e.g., Gazebo, V-REP) and robotic middleware for testing and validation of fleet management software.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.

Job ID: 8181

Job Function: Administration

Institution: National University Health System

Reporting to the Deputy Group Chief Technology Officer, you will support in building and maintaining secure, scalable, and compliant healthcare applications that integrate with electronic health records (EHRs), AI-driven analytics, and cloud-based systems. The incumbent will propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster.

Key Responsibilities

• Develop and maintain web applications using Python, HTML, and ReactJS.
• Collaborate with the design team to create user-friendly and visually appealing interfaces.
• Write clean, maintainable, and efficient code following best practices.
• Perform code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug issues across the entire stack.
• Optimize applications for maximum speed and scalability.
• Stay updated on emerging technologies and trends in web development.
• Work closely with cross-functional teams to gather requirements and translate them into technical solutions.
• Participate in sprint planning, daily stand-ups, and other agile ceremonies.
• Design, develop, test and deploy AI powered chatbot, dashboard, and applications.
• Develop, test, and deploy healthcare software applications that support EHR integration, AI-driven diagnostics, telemedicine, and other healthcare workflows.
• Design and implement APIs and microservices to facilitate secure data exchange between healthcare systems.
• Ensure compliance with healthcare regulations (HIPAA, GDPR, HITRUST) and implement secure authentication/authorization mechanisms (OAuth, OpenID, JWT).
• Optimize application performance and scalability for handling large volumes of medical data and real-time patient monitoring.
• Collaborate with UI/UX designers to create intuitive and accessible healthcare applications for clinicians and patients.
• Work with cloud-based healthcare infrastructures, particularly AWS (Lambda, S3, RDS, Fargate, DynamoDB, CloudWatch) to deploy and maintain applications.
• Support and maintain existing healthcare applications, troubleshooting bugs, improving performance, and adding new features based on user feedback.
• Integrate AI and machine learning models into clinical workflows to enhance predictive analytics and automated decision-making.
• Mentor junior developers and contribute to technical documentation and best practices.
• All other responsibilities requested by the Reporting Officer.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software development, preferably in healthcare technology.
• Proficiency in one or more backend programming languages (Python, Java, C#, .NET, Node.js).
• Experience with frontend frameworks (React, Angular, Vue.js) for building healthcare applications.
• Strong knowledge of RESTful and GraphQL APIs, web services, and data exchange formats (JSON, XML).
• Experience with healthcare data standards (HL7, FHIR, DICOM, X12, SNOMED, LOINC).
• Familiarity with database technologies, including relational (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with cloud computing (AWS, Azure, or Google Cloud).
• Understanding of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Strong problem-solving skills with the ability to work in fast-paced healthcare environments.
• Experience developing AI-driven healthcare solutions (e.g., AI-assisted diagnostics, NLP for clinical notes, predictive analytics).
• Knowledge of interoperability protocols such as SMART on FHIR.
• Experience with mobile healthcare application development (iOS/Android, Flutter, React Native).
• Familiarity with hospital IT environments, PACS, and medical imaging systems.
• AWS Certified Developer or Azure Solutions Architect Certification.
• Excellent communication and presentation skills to effectively convey analytical findings to both technical and non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.

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Job ID: 8712

Job Function: Administration

Institution: National University Health System

Overview

We are looking for a skilled Robotics Data Scientist to join our dynamic team. As a Robotics Data Scientist, you will play a key role in leveraging data analytics and machine learning techniques to drive innovation and optimization in robotic systems. You will work at the intersection of robotics, data science, and artificial intelligence to solve complex challenges and enhance the capabilities of robotic technologies.

Key Responsibilities

• Analyze data generated by robotic systems to gain insights into performance, efficiency, and reliability.
• Develop predictive models and algorithms to optimize robotic operations, including motion planning, path optimization, and task scheduling.
• Implement machine learning algorithms for perception and decision-making in robotic applications, such as object recognition, localization, and navigation.
• Collaborate with robotics engineers and domain experts to define data collection strategies and experimental protocols.
• Design and conduct experiments to validate and refine data-driven models and algorithms for real-world robotic environments.
• Develop tools and frameworks for data visualization, monitoring, and analysis in robotics applications.
• Stay updated with the latest advancements in data science, machine learning, and robotics technology, and incorporate relevant techniques into research and development projects.

Requirements

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.
• Proven experience in data science and machine learning, with a focus on applications in robotics or autonomous systems.
• Proficiency in programming languages such as Python, R, or MATLAB, as well as libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of robotics principles, including kinematics, dynamics, sensors, and actuators, fleet management.
• Experience with data preprocessing, feature engineering, and exploratory data analysis techniques.
• Familiarity with robotics simulation tools (e.g., Gazebo, V-REP), robotic middleware (e.g., ROS) & Fleet management tools.
• Excellent problem-solving skills and ability to work with large and complex datasets.
• Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.
• Possess confidence to resonate with senior management leadership – internal and external stakeholders
• Ability to multi-task and work under tight timelines
• Good analytical and organization skills
• Excellent communication, problem solving, presentation, negotiation and interpersonal skill

Overview

As a Product Manager, you are responsible for the vision and roadmap of key product lines at CoinMarketCap. You’re at the intersection of what the user wants and what the business needs, and are responsible for setting the product strategy. From the get-go, you will be working on products that touch the lives of millions of people around the world daily, and must therefore understand and empathize with users to build an awesome and engaging experience. You’ll need to make decisions based on data and drive analyses to inform priorities and decisions across your products. Furthermore, as a Product Manager, you will need to communicate effectively with many groups across the organization, as well as CoinMarketCap’s leadership team. You’ll bring excellent teamwork and collaboration skills as well as thought leadership.

In this role you’ll be specifically working on AI-related products at CMC, including but not limited to working on and building on top of LLMs, developing automated workflows that produce world-class AI-generated content, connecting our existing products with AI-powered services and APIs, and more. You’ll need to be the expert on the ever-evolving AI product landscape to ensure we are up to speed with the latest available tools we can integrate into our products. This role requires someone who is both highly creative and technical, while always demonstrating great business acumen.

• Deep experience building and releasing AI-related products such as AI models, chatbots, recommendation systems, or generative AI tools
• A Bachelor’s degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics); MBA or Master’s degree in a technical field is a plus
• Knowledge of financial markets, cryptocurrencies, and blockchain
• Fluency in English

1. Vision: Build conviction on your product, understand your users, and have a clear vision and roadmap which you align with stakeholders
2. Data proficiency: Proven ability to leverage data and analytics, and to listen to your users, to inform decisions and prioritization
3. Excellent communication skills (verbal and written): convey complex messages clearly and simply, and driving conviction across stakeholders
4. Bias for action: results-driven mindset, focused on execution and with a hands-on approach, and a track record of launching successful products
5. Entrepreneurial: be a self-starter and a problem-solver who is effective at breaking down complex issues in a fast-paced environment
6. Independent: self-disciplined and motivated, and capable of working both independently and in a dynamic team environment

1. Define the vision and roadmap for AI products at CMC
2. Write clear and succinct user stories and product requirement documents
3. Work collaboratively with business and IT stakeholders
4. Collect data (both qualitative and quantitative) to inform product direction
5. Evaluate the products and features you launch methodically and critically
6. Understand the competitive and partner landscape
7. Challenge assumptions and think outside the box to find ways to improve your products
8. Strong sense of UX and UI design, and ability to work effectively with designers

Join to apply for the Bioinformatics/Data Scientist (Computational Biology, EDDC) role at A*STAR - Agency for Science, Technology and Research

3 days ago Be among the first 25 applicants

Join to apply for the Bioinformatics/Data Scientist (Computational Biology, EDDC) role at A*STAR - Agency for Science, Technology and Research

Overview: At EDDC, Singapore?s national platform for drug discovery and development, we are committed to discovering and developing novel therapeutics by working collaboratively with both public sector and industry partners, translating innovations from bench to clinic. This includes tackling complex and unmet medical challenges in disease areas such as oncology, inflammatory and autoimmune diseases. EDDC is now seeking a highly skilled and motivated Bioinformatics/Data Scientist to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, enabling a wholistic understanding of human disease biology. As part of a dynamic, interdisciplinary team, you will apply multimodal data analytics and machine learning to accelerate and enhance the drug discovery process. The role will also leverage strategic partnerships?both locally and globally?to refine and advance EDDC?s solutions with agility and impact.

Responsibilities:

• Develop and apply computational methods to analyse diverse biological datasets, including genomics, transcriptomics (bulk, single-cell, and spatial RNAseq) and proteomics data.
• Leverage machine learning and AI to uncover meaningful biological patterns and build predictive models to support target identification and mechanism-of-action studies.
• Collaborate closely with biologists, chemists, and cross-functional scientists to prioritize novel therapeutic targets and biomarkers, design and analyse experiments, and effectively communicate findings through scientific reports and presentations.
• Drive and support collaborations with external partners in computational biology and AI, ensuring alignment with internal priorities and project milestones.
• Stay at the forefront of computational biology and AI developments, proactively implementing new methodologies to improve in-house workflows and enhance EDDC?s computational platforms.
  
  

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 2 years of postdoc experience or equivalent in industry settings.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk, single-cell, and spatial transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in Python and R, and familiarity with cloud-based and on-premises database services, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

• Seniority level Associate

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Research Services

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We are looking for a skilled and experienced AI Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to support the processing and analysis of clinical study and digital device sensor data. As a Data Engineer, you will work closely with data scientists and software engineers to ensure the efficient and reliable flow of data from source systems to analytical tools and platforms.

Responsibilities :

• Design, develop, and maintain scalable data pipelines to ingest, transform, and load clinical study data from various sources, including digital device sensors.
• Optimize data storage and retrieval processes in cloud-based platforms to ensure high performance and reliability.
• Collaborate with data scientists to integrate data processing pipelines with AI-powered algorithms and third-party analytical tools or platforms.
• Implement data quality checks and monitoring mechanisms to ensure the integrity and accuracy of the data.
• Troubleshoot and resolve issues related to data pipeline performance, reliability, and scalability.
• Work closely with software developers, system architects and other cross-functional teams to develop data-driven business solutions.
• Stay up-to-date with emerging technologies in AI & Cloud computing and best practices in data engineering to continuously improve data processing pipelines and infrastructure.

Requirements :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in designing and building data pipelines using ETL tools and frameworks such as Apache Spark, Apache Beam, or Apache Airflow.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of database systems, data warehousing concepts, SQL and NoSQL.
• Experience with AI and Cloud Computing: Hands-on experience with cloud platforms like AWS and familiarity with AI solutions in these environments.
• Excellent problem-solving and troubleshooting skills with a strong attention to detail and quality.
• Effective communication and collaboration skills with the ability to work in a team environment.

Preferred Qualifications :

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with big data technologies such as Hadoop, Hive, or Presto.
• Knowledge of distributed computing frameworks such as Apache Hadoop or Apache Spark.
• Familiarity with ElasticSearch or AWS OpenSearch is plus
• Prior experience working with healthcare or clinical data is a plus.

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.