1,173 AI Engineering jobs in Singapore

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We are seeking a passionate and driven AI Engineering Intern to join our team and contribute to cutting-edge proof-of-concept (PoC) projects in the areas of conversational e-commerce and AI-powered customer support. This internship offers a unique opportunity to work at the intersection of machine learning, natural language processing (NLP), and user experience design, helping shape the future of digital commerce and support systems.

Job Responsibilities:

• Collaborate with cross-functional teams to design and implement PoC projects using conversational AI technologies.
• Develop and fine-tune NLP models for chatbots, virtual assistants, and customer support automation.
• Integrate AI solutions with e-commerce platforms and CRM systems to simulate real-world use cases.
• Analyze user interactions and feedback to improve conversational flows and model performance.
• Explore and evaluate third-party APIs, LLMs, and frameworks for rapid prototyping.
• Document findings, present demos, and contribute to technical reports on PoC outcomes.

Preferred Skills & Qualifications:

• Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong foundation in Python and experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face, spaCy).
• Familiarity with LLMs, prompt engineering, and chatbot frameworks (e.g., Rasa, Dialogflow, LangChain).
• Understanding of RESTful APIs and basic web technologies.
• Excellent problem-solving skills and a curiosity for emerging AI trends.
• Strong communication skills and ability to work in a collaborative environment.

Are you game?

About the Role

We are looking for an experienced AI Engineering Lead to drive the design, development, and deployment of enterprise-grade AI and GenAI solutions. This role will lead a small but growing engineering team, work closely with data scientists, product managers, and business stakeholders, and be responsible for scaling AI capabilities across the organization.

Key Responsibilities

• Lead the end-to-end development and deployment of AI/GenAI solutions, from proof-of-concept to enterprise-scale implementation.
• Build and manage a high-performing AI engineering team, providing technical leadership, mentorship, and best practices.
• Collaborate with business units to identify AI/ML opportunities and translate them into scalable technical solutions.
• Design system architecture to ensure solutions integrate seamlessly with existing enterprise IT and data infrastructure.
• Oversee model lifecycle management, including training, deployment, monitoring, and retraining.
• Drive adoption and change management by ensuring usability, performance, and business impact of AI solutions.
• Stay updated with emerging AI/ML and GenAI trends, tools, and frameworks, and apply them where relevant.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in software engineering, with at least 3+ years in AI/ML solution development.
• Proven experience deploying AI/ML or GenAI solutions at enterprise scale (not just PoCs).
• Strong hands-on experience with Python, TensorFlow, PyTorch, or other ML frameworks.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices.
• Solid understanding of system design, APIs, and enterprise integration.
• Strong stakeholder management and ability to work in complex, cross-functional environments.
• Prior team leadership experience preferred.

Nice to Have

• Experience in large-scale enterprise environments.
• Exposure to GenAI applications (LLMs, multimodal models, prompt engineering).
• Familiarity with data governance, security, and compliance in AI.

Company

Cynapse Pte Ltd

Designation

AI Engineering Intern (Computer Vision & Deep Learning)

Date Listed

29 Jul 2025

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

Flexible Start, For At Least 6 Months

Profession

IT / Information Technology

Industry

Artificial Intelligence / Smart Automation

Location Name

71 Ayer Rajah Crescent, # , Singapore

Address

71 Ayer Rajah Crescent, Singapore

Map

Allowance / Remuneration

$1,100 - 1,500 monthly

Company Profile

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

Job Description

We are looking for an AI Engineering Intern (Computer Vision & Deep Learning) to join our Computer Vision Model Engineering Team. This is a unique opportunity to contribute to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and ML pipelines.

You'll work alongside a dynamic team, gaining hands-on experience and contributing to real-world AI projects that optimize the machine learning lifecycle.

As an AI Engineering Intern, you will:

• Gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
• Work closely with engineersto design, build, and refine deep learning models for various Computer Vision tasks, such as image classification, segmentation, object detection, action recognition, and more.
• Work with ML pipelines that support model deployment, assisting with tasks like model integration, data versioning, automated training, and testing.
• Contribute to the optimizationof models and pipelines by conducting experiments, analyzing
• results, and helping to improve model performance.
• Gain exposure to modern tools like Docker, CI/CD, and cloud platforms to support scalable, reliable model deployment.
• Dive into cutting-edge research and gain insights into model architecture optimization, scalability, and challenges related to real-time application in Computer Vision.

Requirements:

• Currently pursuing or completed a Diploma/ Bachelor/ Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
• Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
• Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.
• Strong analytical thinking and problem-solving skills, with an emphasis on improving software pipelines.

Preferred (Bonus Skills):

• Familiarity with building and optimizing ML pipelines, including data preprocessing, model training, testing, and deployment.
• Experience in software engineering practices like version control (Git), CI/CD pipelines, or Docker for containerization.
• Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
• Knowledge of computer vision concepts and libraries (e.g., OpenCV).
• Interest in exploring advanced topics like Generative AI, multi-modal learning, or real-time video analytics.

Duration:

• Internship duration: Minimum 4 months (negotiable based on the candidate's schedule).
• Availability: At least 4 days a week, with a preference for full-time commitment.
• Flexible start and end dates to accommodate exams or personal schedules.

Note: Due to the nature of the role, candidates must be based in Singapore or have relevant experience studying/working in Singapore.

Application Instructions

Please apply for this position by submitting your text CV using InternSG and answer the following questions:

1. Are you currently residing in Singapore?
2. Are you legally authorized to work in Singapore?
3. Will you now, or in the future, require sponsorship for employment visa status?

Kindly note that only shortlisted candidates will be notified.

Apply for this position

We are seeking a seasoned AI Engineering Expert with a passion for production-grade AI systems to collaborate with our team.

• Model Development:
  Deploy and fine-tune Large Language Model (LLM) models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.
• Data Infrastructure:
  Collaborate with Data Scientists to build and own data pipelines for ingestion, transformation, versioning, and labeling. Ensure robust, reproducible data loops to power iterative development.
• Workflow Design & Orchestration:
  Orchestrate multiple models to deliver state-of-the-art results. Partner with Production teams and Software Engineers to bring AI solutions into real-world products.

• Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or related technical disciplines.
• Passion and aptitude for programming and technology.
• Enthusiasm for analytical and problem-solving challenges.
• Strong enterprise project experience with Machine Learning and AI.
• Strong programming skills within one or more of these development languages: C / C++ / R / Java / Python.
• Good experience with Large Language Model technologies.
• Experience within Data Engineering/Data Structuring.
• Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch).
• Ability to define and manage project deadlines and balance workloads across various projects.
• Effective communication skills to keep stakeholders informed on progress.
• Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.
• Fluency with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are looking for an AI Engineering Intern (Computer Vision & Deep Learning) to join our Computer Vision Model Engineering Team. This is a unique opportunity to contribute to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and ML pipelines.

You'll work alongside a dynamic team, gaining hands-on experience and contributing to real-world AI projects that optimize the machine learning lifecycle.

As an AI Engineering Intern, you will:

• Gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
• Work closely with engineers to design, build, and refine deep learning models for various Computer Vision tasks, such as image classification, segmentation, object detection, action recognition, and more.
• Work with ML pipelines that support model deployment, assisting with tasks like model integration, data versioning, automated training, and testing.
• Contribute to the optimization of models and pipelines by conducting experiments, analyzing
• results, and helping to improve model performance.
• Gain exposure to modern tools like Docker, CI/CD, and cloud platforms to support scalable, reliable model deployment.
• Dive into cutting-edge research and gain insights into model architecture optimization, scalability, and challenges related to real-time application in Computer Vision.

Requirements:

• Currently pursuing or completed a Diploma/ Bachelor/ Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
• Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
• Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.
• Strong analytical thinking and problem-solving skills, with an emphasis on improving software pipelines.

Preferred (Bonus Skills):

• Familiarity with building and optimizing ML pipelines, including data preprocessing, model training, testing, and deployment.
• Experience in software engineering practices like version control (Git), CI/CD pipelines, or Docker for containerization.
• Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
• Knowledge of computer vision concepts and libraries (e.g., OpenCV).
• Interest in exploring advanced topics like Generative AI, multi-modal learning, or real-time video analytics.

Duration:

• Internship duration: Minimum 4 months (negotiable based on the candidate's schedule).
• Availability: At least 4 days a week, with a preference for full-time commitment.
• Flexible start and end dates to accommodate exams or personal schedules.

Note: Due to the nature of the role, candidates must be based in Singapore or have relevant experience studying/working in Singapore.

We are seeking a skilled AI Engineer to join our team. In this role, you will work closely with customers to understand their complex technical challenges and design innovative AI solutions.

Your responsibilities will include:

• Onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup.
• Deploying state-of-the-art AI applications across various industries.
• Collaborating with researchers and engineers on complex customer projects involving deployment, scaling, and open-source codebases.
• Participating in pre-sales calls to understand potential clients' needs and provide technical guidance.

To succeed in this role, you will need:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Experience with AI development and deployment.

This is an exciting opportunity to drive technological transformation and make a real impact in the world.

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.
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Home Team Science and Technology Agency (HTX)

Permanent

Closing on 30 Sep 2025

What the role is

The Home Team Science and Technology Agency (HTX) is a statutory board under the Ministry of Home Affairs (MHA) which aims to pioneer innovation solutions and develop world class science and technology capabilities to transform and empower the Home Team in delivering safety and security for Singapore.
The HTxAI Products team is committed to empower our Home Team Department (HTD)'s flagship projects through the seamless integration of AI technologies. From identifying opportunities to delivery, launch, and continuous enhancement, HTxAI aims to push boundaries and setting new standards in homeland security.
As a Lead/Engineer in HTxAI, you will be part of a dynamic engineering team that designs and develops AI-related solutions for Home Team use cases. We are looking for aspiring candidates with a passion for problem solving and solution development to fulfil a role in AI Products, HTxAI as AI Engineer, who is proactive and is able to design and develop machine learning/deep learning-based AI solutions with good software engineering experience. He/she will be working with product managers, project managers, and different stakeholders to build capabilities for our Home Team officers.

What you will be working on

Develop/train machine learning / deep learning AI models or large/multi-modal models to address Home Team use cases
Write production quality code, optimise and containerise AI-models and related solutions for deployment on Cloud Platform (GCC), on-Premises or on-Edge devices
Continually optimise performance of in-house developed AI solution through increase run-time efficiency, reduce computational costs, inference optimisation, parallelisation/distributed computing, etc.
Conduct performance testing and troubleshooting.
Deploy AI models in production environments and monitor their performance, making necessary adjustments to improve efficiency.
Handle data pre-processing and annotation for model training and development
Document methodologies, design decisions, and findings in a clear and organized manner to different technical and non-technical stakeholders
Provide technical advisory and review related technical articles to support key business decision and project decision making
Keep abreast of new AI technologies development and continuously improve HTxAI's AI engineering capability
Collaborate with external partners to co-develop novel AI solutions or enhance existing in-house solutions
Learn and share knowledge in a multi-disciplinary team both internally and externally

What we are looking for

Undergraduate / Postgraduate qualification in Computer Science, Computer Engineering, or any relevant areas
4-5 years of Software Engineering experience with 2-3 years of hands-on experience in AI model training and application.
Candidates with experience in Python
Experience with open-source frameworks such as OpenCV, Pytorch and Tensorflow.
Candidates with experience in Vision-AI models or knowledge in Large model are preferred
Able to develop AI applications and deploy the applications using docker containers with RESTful APIs
Able to do Bash and PowerShell Scripting on Linux Operating system
Practical experience with Cloud environment (AWS or Azure)
Experience with Government Commercial Cloud (GCC) environment will be strongly preferred
Candidates with experience in CI/CD pipeline for model deployment will be an added bonus
Able to work collaboratively with cross-functional teams multi-disciplinary / multi-agencies teams
Able to communicate technical concepts and conduct demos in a clear and effective manner to stakeholders of varying technical background
Knowledge of emerging AI-related technologies and trends
Self-motivated, team player, creative with excellent communication skills, excellent interpersonal skills and ability to work independently.
Having domain knowledge in Homeland Security sector will be an added bonus
Applicants with more than 5 years' relevant experience will be considered for more senior

*** All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

About Home Team Science and Technology Agency (HTX)

HTX is the world's first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore's frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team's advantage and secure Singapore as the safest place on planet earth.

About your application process

This job is closing on 30 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Home Team Science and Technology Agency (HTX) or the wider Public Service.

Join to apply for the
Senior Software Engineer (AI Engineering)
role at
Centre for Strategic Infocomm Technologies (CSIT)
Responsibilities
Influence the roadmap and development of applications and pipelines
Deploy and maintain performant AI/ML services
Design, develop, deploy and maintain high-quality code following engineering and testing best practices
Work with data scientists, product engineers and users to enable new AI capabilities
Requirements (Minimum Qualifications)
Degree in quantitative field (e.g. Engineering, Computer Science, Mathematics, Physics etc) and 3 or more years of relevant work experience
Proficiency in Python, Java or similar programming languages
Practical experience with databases such as RDBMS, NoSQL, vector scores
Experience in software deployment, including with tools for CI/CD and other deployment processes
Familiarity with containerization and container orchestration platforms (e.g. Docker, Kubernetes)
Good understanding of domain-driven design, microservice patterns and service-oriented architectures
Technical leadership experience such as mentoring other engineers or driving collaborations with other engineering teams
Nice to haves
Experience with Python web frameworks (e.g. Flask, FastAPI)
Experience in designing and maintaining data pipelines with high reliability/throughput requirements
Experience with deploying and maintaining AI/ML services (e.g. deploying LLM services via vLLM) for high reliability/throughput use cases
Note: As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industry: IT Services and IT Consulting
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