639 AI Engineering jobs in Singapore

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Job Profile Summary:

A highly skilled and visionary Head of AI Engineering will lead Prudential efforts in developing and deploying innovative AI/GenAI and ML solutions to drive business growth and efficiency. The role will play a pivotal role in utilizing AI to create a competitive edge, streamline operations, and generate new revenue streams through AI-driven products and services. Collaborating with senior stakeholders, business and technology partners, the Head of AI Engineering will ensure that AI/GenAI solutions are seamlessly integrated and aligned with the organization's strategic objectives.

Job Description:

• Direct the lifecycle management of AI/ML solutions, from ideation to deployment, ensuring alignment with business goals and user needs.
• Apply a sophisticated understanding of AI/ML technologies to design, develop, and substantiate applications that solve specific business issues faced by the company, such as risk assessment, operation efficiency, and personalized insurance offerings.
• Craft and lead machine learning strategies, incorporating a mix of approaches from Predictive AI and Generative AI, to refine and elevate the company's operational and strategic capabilities.
• Lead the selection of development tools and environments, advocating for the adoption of industry best practices in AI and ML project development to optimize performance and innovation.
• Perform comprehensive analyses of engineering decisions, effectively communicating the technical implications and ensuring alignment across the team by facilitating a shared understanding of the chosen approaches and their impact.
• Champion collaboration among diverse teams, including data analysts, scientists, engineers, product managers and business users, to meticulously define requirements and orchestrate strategic product roadmaps that align with the company’s long-term vision.
• Act as a catalyst for innovation, keeping abreast of the latest developments in AI/ML fields, applying this knowledge to drive forward-thinking solutions that keep the organization competitive in the fast-evolving insurance and technology landscape.
• Take charge of a team of machine learning engineers and data scientists, responsible for training, upskilling and guiding their professional development and fostering a culture of excellence, innovation, and continuous learning within the department.
• Promote ethical AI practices, ensuring algorithms and machine learning models deployed are fair, transparent, and devoid of biases, thereby enhancing trust and integrity in AI solutions used within the company.

Who we are looking for:

Qualifications and Experience:

• Degree in Computer Science, Information Technology, Data Science, or a related field, with a focus on advanced analytics and engineering.
• Minimum of 10 years of relevant experience in machine learning, data science, or a similar role, preferably within the insurance or high-tech industry.
• Demonstrated capability in deploying AI/ML solutions, including familiarity with the latest Generative AI tools.
• Comprehensive knowledge of machine learning algorithms, data structures, cloud-based data platforms, and MLOps practices.
• Proficiency in programming and analytical tools, including Python, SQL, and Spark.
• Experience in guiding teams through ambiguity to deliver high-impact projects.
• Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders effectively.

Personal Attributes:

• Deep passion for leveraging AI and ML technologies to revolutionize business models and operations.
• Innovative thinker with a proactive approach to problem-solving and a strong focus on continuous learning and development.
• Exceptional leadership qualities, capable of fostering collaboration and driving data-influenced decision-making within a dynamic and fast-paced environment.

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

We're seeking a highly skilled AI Engineering Specialist to join our team. In this role, you will play a pivotal part in developing and integrating cutting-edge AI models into our production systems.

• Develop efficient and maintainable code to create innovative AI solutions for our B2B software products.
• Collaborate with data engineers to establish robust data pipelines and precise data integration.
• Implement and optimize AI models in real-time production environments to drive business growth.
• Leverage advanced AI techniques such as Retrieval Augmented Generation (RAG) to enhance user interaction and software functionalities.
• Explore AI methods like natural language processing (NLP), knowledge graphs, and neural networks to elevate our software capabilities.
• Work closely with cross-functional teams to meet client requirements and deliver AI-driven solutions.
• Stay updated on the latest AI and machine learning trends to ensure our products remain industry-leading.

• Maintain comprehensive documentation for AI models, processes, and methodologies.
• Integrate AI-based automation and intelligent features into our CRM and ERP systems to improve efficiency and productivity.

• Design and implement scalable ML pipelines for Generative and Agentic AI applications.
• Integrate AI models into production environments using containerized platforms like OpenShift and Kubernetes.
• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
• Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
• Ensure seamless deployment and integration of AI services in cloud environments (e.g., AWS, Azure, GCP).
• Implement and maintain network security protocols to safeguard AI systems and data pipelines.
• Monitor and optimize system performance, reliability, and scalability.
• Support CI/CD processes and infrastructure for AI model deployment and updates.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in Machine Learning engineering or AI system integration.
• Hands-on experience with OpenShift, Docker, Kubernetes.
• Knowledge of cloud platforms (e.g., AWS, GCP) is a must-have.
• Exposure to data and network security and compliance in AI systems.
• Understanding of Generative AI and Agentic AI concepts.
• Experience with LLM prompt engineering, or RAG pipelines.
• Knowledge of API integration and microservices architecture.
• Proficiency in Python used both for ML and automation tasks.
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Knowledge of Workflow Orchestrator, such as Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.

Nanyang Technological University is a world-renowned institution with a strong reputation for academic excellence.

The College of Computing and Data Science at NTU offers an excellent curriculum, impactful research opportunities, and a world-class faculty.

A hotbed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators in the digital age.

We welcome you to join our community of faculty, students, and alumni who are shaping the future of AI, Data Science, and Computing.

The Research Engineer II will work on uncertainty quantification in Large Language Models.

Key Responsibilities:

• Set up and maintain project compute infrastructure to meet team needs.
• Maintain internal communication infrastructure to facilitate collaboration among researchers.
• Collaborate on research projects, contributing novel methodologies and ideas.
• Act as a source of information and advice on computational matters.
• Manage large-scale research implementations and experiments.
• Contribute to writing research papers and submissions to high-profile venues.
• Lead open-sourcing research code efforts and present outcomes at international conferences.

The postholder will perform other duties within the scope, spirit, and purpose of the job, as requested by their Reporting Officer.

Essential Criteria:

• Candidates close to completion or hold a MSc or above in a relevant technical subject (e.g., computer science, statistics, engineering).
• Possess a strong publication track record in machine learning or related fields.
• Possess sufficient specialist knowledge, research skills, and interests in deep learning and LLMs.
• Possess strong technical knowledge and abilities of deep learning frameworks (pytorch, jax, huggingface) and popular open-source codebases and LLM APIs.
• Possess strong motivation and interests in developing computational infrastructure to enable large-scale implementations and experimentations in LLMs.
• Possess strong collaboration abilities and excellent communication skills.

• Write clean, efficient, and maintainable code to develop AI solutions for Alphatok's B2B software products.
• Collaborate with data engineers to ensure robust data pipelines and accurate data integration.
• Implement and optimize AI models in real-time production environments.
• Leverage Retrieval Augmented Generation (RAG) and other advanced AI techniques to improve user interaction and software functionalities.
• Experiment with AI methods such as natural language processing (NLP), knowledge graphs, and neural networks to enhance Alphatok's software capabilities.
• Work closely with cross-functional teams, including project managers, data scientists, and product developers, to meet client requirements and deliver AI-driven solutions.
• Stay updated on the latest AI and machine learning trends to ensure Alphatok's products remain industry-leading.
• Participate in the agile software development process, contributing to sprint planning, daily stand-ups, and code reviews.
• Develop and maintain comprehensive documentation for AI models, processes, and methodologies.
• Integrate AI-based automation and intelligent features into Alphatok's CRM and ERP systems to improve user efficiency and client satisfaction.

• Bachelor's degree in Computer Science, Mathematics, Data Science, or a related field.
• Minimum of 2+ years of experience in AI engineering, with a focus on AI model development and integration.
• Proficient in Python and familiar with AI frameworks like TensorFlow or PyTorch.
• Experience in building scalable AI systems using modern cloud platforms such as AWS, Google Cloud, or Azure.
• Familiar with machine learning concepts, including optimization algorithms, evaluation metrics, and neural networks.
• Knowledge of DevOps and experience with CI/CD pipelines, version control (e.g., Git), and testing methodologies.
• Experience in working with RESTful APIs and data pipeline integration.
• Strong problem-solving skills, with the ability to work independently and adapt quickly to new technologies.

• Experience with Retrieval Augmented Generation (RAG) and other prompt engineering techniques.
• Knowledge of multi-user collaborative design systems and AI-driven project management.
• Experience with Docker for building, deploying, and managing containers in production environments.
• Familiarity with frontend and backend development (e.g., Node.js, TypeScript, C#, or Java).
• Experience working with B2B software systems like ERP and CRM in a cloud-based architecture.

Job Overview:

As an AI Engineering Specialist, you will play a critical role in developing and integrating advanced AI models into Alphatok's production systems, including our flagship CRM and ERP software. You will work closely with our engineering team, contributing to Alphatok's vision of providing AI-powered solutions to businesses in diverse sectors. Reporting to the Chief Technology Officer (CTO), this role offers you the chance to develop scalable AI solutions while working in a fast-paced, dynamic startup environment.

Key Responsibilities:

• Write clean, efficient, and maintainable code to develop AI solutions for Alphatok's B2B software products.
• Collaborate with data engineers to ensure robust data pipelines and accurate data integration.
• Implement and optimize AI models in real-time production environments.
• Leverage Retrieval Augmented Generation (RAG) and other advanced AI techniques to improve user interaction and software functionalities.
• Experiment with AI methods such as natural language processing (NLP), knowledge graphs, and neural networks to enhance Alphatok's software capabilities.
• Work closely with cross-functional teams, including project managers, data scientists, and product developers, to meet client requirements and deliver AI-driven solutions.
• Stay updated on the latest AI and machine learning trends to ensure Alphatok's products remain industry-leading.
• Participate in the agile software development process, contributing to sprint planning, daily stand-ups, and code reviews.
• Develop and maintain comprehensive documentation for AI models, processes, and methodologies.
• Integrate AI-based automation and intelligent features into Alphatok's CRM and ERP systems to improve user efficiency and client satisfaction.

Required Qualifications:

• Bachelor's degree in Computer Science, Mathematics, Data Science, or a related field.
• Minimum of 2+ years of experience in AI engineering, with a focus on AI model development and integration.
• Proficient in Python and familiar with AI frameworks like TensorFlow or PyTorch.
• Experience in building scalable AI systems using modern cloud platforms such as AWS, Google Cloud, or Azure.
• Familiar with machine learning concepts, including optimization algorithms, evaluation metrics, and neural networks.
• Knowledge of DevOps and experience with CI/CD pipelines, version control (e.g., Git), and testing methodologies.
• Experience in working with RESTful APIs and data pipeline integration.
• Strong problem-solving skills, with the ability to work independently and adapt quickly to new technologies.

Preferred Qualifications:

• Experience with Retrieval Augmented Generation (RAG) and other prompt engineering techniques.
• Knowledge of multi-user collaborative design systems and AI-driven project management.
• Experience with Docker for building, deploying, and managing containers in production environments.
• Familiarity with frontend and backend development (e.g., Node.js, TypeScript, C#, or Java).
• Experience working with B2B software systems like ERP and CRM in a cloud-based architecture.

We are seeking a highly skilled and experienced Senior Software Engineer to lead the design, development and deployment of scalable AI software solutions. The ideal candidate will have strong expertise in machine learning, MLOps and embedded system integration with a passion for delivering intelligent applications across platforms including Windows, Linux, mobile (iOS/Android) and edge computing devices.

Key Responsibilities:

• Design and develop AI-powered software systems, including machine learning models fine tuning, deep learning algorithms and API architecture.
• Collaborate with cross-functional teams to gather requirements, define specifications and deliver robust software solutions.
• Integrate AI models using frameworks such as TensorFlow, PyTorch and OpenCV for computer vision, natural language processing (NLP) and speech recognition applications.
• Develop and maintain automated MLOps pipelines for model fine tuning, deployment and monitoring (e.g., using Git, Docker, Kubernetes, CI/CD).
• Optimise code performance and latency for cloud and embedded edge platforms (e.g., NVIDIA Jetson, Google Coral, ARM Cortex).
• Implement unit and system-level testing, bug resolution and performance benchmarking.
• Contribute to multi-platform application development including desktop (Windows/Linux), mobile (iOS/Android) and embedded systems.
• Stay updated on emerging AI/ML technologies and continuously improve development practices through research and experimentation.
• Collaborate with product and UX teams to support user-centric features and intuitive interfaces.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Minimum 5 years of hands-on experience in software engineering, with strong background in machine learning, AI model deployment on edge devices and backend development.
• Proven experience with Python, C++, Java, and GPU-based programming (e.g., CUDA, TensorRT).
• Solid understanding of MLOps, DevOps and Agile software development methodologies.
• Proven expertise in Computer Vision, Generative AI and Agentic AI.
• Strong verbal and written communication skills in English.
• Must be legally eligible to work in Singapore without company sponsorship.

Job Overview :

As an AI Engineering Specialist , you will play a critical role in developing and integrating advanced AI models into Alphatok's production systems, including our flagship CRM and ERP software. You will work closely with our engineering team, contributing to Alphatok’s vision of providing AI-powered solutions to businesses in diverse sectors. Reporting to the Chief Technology Officer (CTO), this role offers you the chance to develop scalable AI solutions while working in a fast-paced, dynamic startup environment.

Key Responsibilities :

• Write clean, efficient, and maintainable code to develop AI solutions for Alphatok's B2B software products.
• Collaborate with data engineers to ensure robust data pipelines and accurate data integration.
• Implement and optimize AI models in real-time production environments.
• Leverage Retrieval Augmented Generation (RAG) and other advanced AI techniques to improve user interaction and software functionalities.
• Experiment with AI methods such as natural language processing (NLP), knowledge graphs, and neural networks to enhance Alphatok’s software capabilities.
• Work closely with cross-functional teams, including project managers, data scientists, and product developers, to meet client requirements and deliver AI-driven solutions.
• Stay updated on the latest AI and machine learning trends to ensure Alphatok’s products remain industry-leading.
• Participate in the agile software development process, contributing to sprint planning, daily stand-ups, and code reviews.
• Develop and maintain comprehensive documentation for AI models, processes, and methodologies.
• Integrate AI-based automation and intelligent features into Alphatok's CRM and ERP systems to improve user efficiency and client satisfaction.

Required Qualifications :

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or a related field.
• Minimum of 2+ years of experience in AI engineering, with a focus on AI model development and integration.
• Proficient in Python and familiar with AI frameworks like TensorFlow or PyTorch.
• Experience in building scalable AI systems using modern cloud platforms such as AWS, Google Cloud, or Azure.
• Familiar with machine learning concepts, including optimization algorithms, evaluation metrics, and neural networks.
• Knowledge of DevOps and experience with CI/CD pipelines, version control (e.g., Git), and testing methodologies.
• Experience in working with RESTful APIs and data pipeline integration.
• Strong problem-solving skills, with the ability to work independently and adapt quickly to new technologies.

Preferred Qualifications :

• Experience with Retrieval Augmented Generation (RAG) and other prompt engineering techniques.
• Knowledge of multi-user collaborative design systems and AI-driven project management.
• Experience with Docker for building, deploying, and managing containers in production environments.
• Familiarity with frontend and backend development (e.g., Node.js, TypeScript, C#, or Java).
• Experience working with B2B software systems like ERP and CRM in a cloud-based architecture.

Job Profile Summary:

A highly skilled and visionary Head of AI Engineering will lead Prudential efforts in developing and deploying innovative AI/GenAI and ML solutions to drive business growth and efficiency. The role will play a pivotal role in utilizing AI to create a competitive edge, streamline operations, and generate new revenue streams through AI-driven products and services. Collaborating with senior stakeholders, business and technology partners, the Head of AI Engineering will ensure that AI/GenAI solutions are seamlessly integrated and aligned with the organization's strategic objectives.

Job Description:

• Direct the lifecycle management of AI/ML solutions, from ideation to deployment, ensuring alignment with business goals and user needs.
• Apply a sophisticated understanding of AI/ML technologies to design, develop, and substantiate applications that solve specific business issues faced by the company, such as risk assessment, operation efficiency, and personalized insurance offerings.
• Craft and lead machine learning strategies, incorporating a mix of approaches from Predictive AI and Generative AI, to refine and elevate the company's operational and strategic capabilities.
• Lead the selection of development tools and environments, advocating for the adoption of industry best practices in AI and ML project development to optimize performance and innovation.
• Perform comprehensive analyses of engineering decisions, effectively communicating the technical implications and ensuring alignment across the team by facilitating a shared understanding of the chosen approaches and their impact.
• Champion collaboration among diverse teams, including data analysts, scientists, engineers, product managers and business users, to meticulously define requirements and orchestrate strategic product roadmaps that align with the company’s long-term vision.
• Act as a catalyst for innovation, keeping abreast of the latest developments in AI/ML fields, applying this knowledge to drive forward-thinking solutions that keep the organization competitive in the fast-evolving insurance and technology landscape.
• Take charge of a team of machine learning engineers and data scientists, responsible for training, upskilling and guiding their professional development and fostering a culture of excellence, innovation, and continuous learning within the department.
• Promote ethical AI practices, ensuring algorithms and machine learning models deployed are fair, transparent, and devoid of biases, thereby enhancing trust and integrity in AI solutions used within the company.