676 AI Engineer jobs in Singapore
AI Engineer
Posted 6 days ago
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**Work with Us. Change the World.**
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us.
**Job Description**
We are looking for innovative and motivated professionals to join our Digital team as AI Engineers / Machine Learning Engineers, supporting the development and deployment of advanced AI solutions.
In this role, you will work closely with senior architects and cross-disciplinary teams to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment. From infrastructure systems to building design, you will contribute to the development of AI-enabled tools that enhance automation and optimisation across engineering workflows.
This position requires hands-on expertise in Python programming, machine learning techniques, and experience with LLMs. You will play a vital role in implementing and maintaining scalable, reliable, and user-focused AI solutions. Join us in transforming how infrastructure is designed and delivered, through bringing cutting-edge technologies to address some of the most pressing challenges in our cities and communities.
**Responsibilities:**
+ Develop and fine-tune AI/ML models to ensure alignment with regulatory requirements and core engineering principles.
+ Leverage spatial data, 3D models, engineering constraints, and historical/analogue records to improve design accuracy, safety, and efficiency.
+ Combine rule-based logic and machine learning techniques to build robust scripts and scalable model training pipelines using Python.
+ Proficiency in Python and ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn), along with geospatial libraries (e.g., GeoPandas, Shapely, ArcPy, FME).
+ Develop and deploy AI tools into engineering workflows via APIs, dashboards, or custom plug-ins integrated with existing tools (e.g. ArcGIS, AutoCAD Civil 3D, Revit, Rhino).
+ Collaborate with civil engineers, utility specialists, and GIS/BIM specialists to translate infrastructure planning and design challenges into AI- powered solutions.
**Qualifications**
+ Bachelor's, Master's, or PhD in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline. Candidates with advanced degrees (Master's or PhD) are preferred.
+ 2+ years of experience in AI/ML development, preferably in domains such as spatial/geometric analysis, geospatial data, or engineering applications.
+ Proficient in Python and familiar with relevant ML/DL tools and libraries.
+ Strong understanding of data pipelines, statistical methods, and model evaluation techniques.
+ A strong team player with excellent communication skills and the ability to collaborate effectively across technical and non-technical stakeholders.
**Additional Information**
**About AECOM**
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com.
**What makes AECOM a great place to work**
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.
**ReqID:** J10133922
**Business Line:** Transportation
**Business Group:** DCS
**Strategic Business Unit:** Asia
**Career Area:** Digital & Engineering Technology
**Work Location Model:** Hybrid
**Legal Entity:** AECOM Singapore Pte Ltd
AI Engineer
Posted today
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- Permanent role
- Fast growing and established organisation in the AI industry
We are partnering with a well established and fast-growing AI consulting firm, headquartered in UK.
Job Description
- To build AI-powered solutions , particularly those involving large language models
- Able to interact with clients to understand their business challenges , goals and communicate how AI solutions can address their needs
- To ensure effectiveness and reliability of AI solutions through quality assurance testing
- Able to stay updated with the latest developments in AI , machine learning and related technologies
- Has at least 4 years of experience in software engineering
- Strong experience with building Microservices such as scalable data pipelines using Spark
- Strong experience in solution design using Python, SQL and LLM
- Proficient in Korean speaking to liaise with the counterparts in Korea market
- Permanent role
- Fast growing and established organisation in the AI industry
- Attractive remuneration and benefits package
Cheryl Ang (Lic No: R2091316/ EA no: 18C9065)
Quote job ref
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Phone number
Michael Page International Pte Limited, company number N (including Page Executive A) and Page Personnel Recruitment Pte Ltd (Registration Number: C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.
AI Engineer
Posted today
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Your mission will be to build scalable, intelligent systems on top of LLMs that help developers focus on high-impact work by reducing manual effort. You'll contribute to tools that generate code from designs, automate test cases, review code quality, and integrate deeply with GitHub, Jira, and IDEs.
Minimum Qualifications:
- LLM Integration & Prompt Engineering: Experience building applications on top of GPT-3/4, Claude, or similar.
- RAG Systems: Hands-on expertise in Retrieval-Augmented Generation pipelines, vector stores, and semantic search.
- Cloud Infrastructure: Strong AWS experience (Lambda, S3, EC2, IAM); IaC with Terraform or CloudFormation.
- Python & TypeScript/JavaScript (backend + integrations)
- PyTorch, Transformers, and HuggingFace
- Natural Language Understanding (NLU/NLP) for processing specs, wikis, and design inputs
- API Design, GitHub Webhooks, and VS Code extension APIs
- Design, develop, and optimize LLM-based services for code generation, test automation, and AI copilots.
- Implement RAG workflows to combine internal context (e.g., wikis, APIs, design specs) with LLM capabilities.
- Leverage agentic frameworks to enable AI systems to take intelligent actions (e.g., generate PR-ready code or suggest test coverage improvements).
- Collaborate with engineers, product managers, and platform teams to integrate solutions into VS Code, GitHub, and CI/CD pipelines.
- Own and evolve platform architecture, from prompt engineering to model orchestration and security compliance.
- Productionizing AI copilots for internal developer workflows
- Contributing to open-source or internal AI agents/platforms
- Knowledge of engineering tooling or enterprise-grade compliance requirements
AI Engineer
Posted today
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- Develop distributed artificial intelligence systems and deploy them on large-scale clusters or clouds.
- Develop and optimize algorithm systems from specific scenarios and problems, and produce solutions applied to the scenarios.
- Participate in the integration design and optimization of artificial intelligence technology and existing tools to improve product performance.
- Write high-quality scientific papers and have the opportunity to serve as the first author of important papers.
- Proficient in TensorFlow/PyTorch, Ray/DeepSpeed/NVIDIA Megatron, and familiar with the internal operating mechanisms of these systems.
- Familiar with various optimization algorithms and model architectures, proficient in Python or C++ optimization algorithm libraries, including various classical algorithms and models based on gradients (BERT, GPT-3, Swin Transformer, ViT, MLP-Mixer).
- Familiar with SaaS, architecture, compilers, networks, CUDA, and other related knowledge or have relevant project experience.
- Strong programming and engineering implementation abilities. Those who have won programming competition awards or published high-quality papers will be given priority in recruitment.
- Bachelor's degree, majoring in computer science, software engineering, electronic information, automation, mathematics, physics, or other artificial intelligence-related majors.
AI Engineer
Posted today
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Job Description
- AI Solution Development: Design, develop, and deploy AI/ML models to optimize construction project timelines, resource planning, safety analysis, and cost management.
- BIM & Data Integration: Work closely with the Building Information Modelling (BIM) team to integrate AI tools with BIM platforms and other construction management systems.
- Predictive Analytics: Create predictive models to identify potential project risks, material requirements, and maintenance needs.
- Automation & Computer Vision: Implement AI solutions for automated progress monitoring, defect detection, and quality control using drones, cameras, or IoT sensors.
- Collaboration: Partner with project managers, architects, and engineers to understand project requirements and translate them into AI-driven solutions.
- Data Management: Build and maintain data pipelines, ensuring high-quality datasets for AI/ML model training and evaluation.
- Research & Innovation: Explore emerging AI technologies relevant to construction and recommend innovative approaches for adoption.
- Documentation & Compliance: Ensure all AI solutions comply with industry regulations, data security, and company policies.
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
- Minimum 3-5 years of experience in AI/ML solution development.
- Prior exposure to construction, civil engineering, or BIM technologies is an advantage.
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
- Knowledge of computer vision (OpenCV), natural language processing (NLP), and predictive modeling.
- Experience with cloud platforms (AWS or Azure) for AI/ML deployment.
- Familiarity with construction management tools (Primavera, Navisworks, Revit) is a plus.
- Strong problem-solving abilities
- Excellent communication skills
- Ability to collaborate with multidisciplinary teams.
- Familiarity with Singapore construction standards and data security regulations will be an added advantage.
AI Engineer
Posted today
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We are seeking an experienced AI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge AI solutions. The AI Engineer will collaborate with cross-functional teams to solve complex problems using machine learning, deep learning, and other AI techniques.
Responsibilities:
- Develop and implement AI algorithms and models to address business challenges.
- Design and train machine learning and deep learning systems.
- Collaborate with software engineers to integrate AI models into production systems.
- Optimize AI models for performance, scalability, and accuracy.
- Conduct research to stay updated with the latest AI technologies and methodologies.
- Work closely with stakeholders to understand project requirements and deliver AI solutions accordingly.
- Ensure ethical and responsible use of AI technologies in all projects.
- Bachelor's/Master's/Ph.D. degree in Computer Science, Artificial Intelligence, or related field.
- Minimum 3 years of relevant experience.
- Proven experience in developing and deploying AI solutions.
- Strong programming skills in languages like Python, R, or Java.
- In-depth knowledge of machine learning frameworks (TensorFlow, PyTorch, etc.) and libraries.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and analytical abilities.
- Strong communication skills and the ability to work in a collaborative team environment.
- Familiarity with cloud platforms and big data technologies is a plus.
AI Engineer
Posted today
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Whether you're a fresh graduate or looking to pivot into AI, this programme is designed to equip you with the technical capabilities, tools, and real-world exposure to succeed.
About the Programme
Successful applicants will go through a fully sponsored, full-time BootCamp (3-4 months) followed by deployment to our hiring partners.
BootCamp Phase
- Duration: 3-4 months
- Full-time, in-person training
- Monthly training allowance provided
- Curriculum focused on AI engineering, model development, deployment, and evaluation
- Duration: 3 years
- Full-time salaried position
- Work on impactful AI projects across sectors
- Continued mentorship and upskilling provided
- Build and prototype AI-powered MVPs
- Design, train, and fine-tune models for real-world use cases
- Apply advanced AI techniques such as meta-learning, prompt engineering, and in-context learning
- Optimize models for performance, scalability, and deployment
- Leverage open-source tools and modern frameworks to support AI product development
We don't expect you to have mastered it all, training will be provided.
Instead, we look for individuals who have:
- Strong learning agility and curiosity
- Grit and a problem-solving mindset
- A genuine interest in AI and its applications
- The attitude and aptitude to thrive in a fast-paced tech environment
If you already have some experience, great, but no experience is required to apply.
- Python programming
- Deep learning frameworks: PyTorch, Hugging Face, PyTorch Geometric
- Model architectures: Transformers, RNNs, GNNs, HGNNs
- Tools: Nvidia NIMs, Nvidia Triton, VLLM
- Familiarity with concepts like reinforcement learning, meta-learning, or graph theory is a plus
- Fully sponsored training with allowance
- Guaranteed deployment with a full-time salary
- Ongoing support, mentoring, and career growth opportunities
For faster processing, please apply via our official website:
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AI Engineer
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AI Engineer
Posted today
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We're seeking an enthusiastic and self-motivated AI Engineer to build a scalable AI/ML system that will impact millions of Doctor Anywhere's users and patients. You enjoy working in a cross-functional environment, collaborating with product managers, software engineers, designers, data analytics, data engineers, and business stakeholders.
What you'll do in this role:
- Design, develop and maintain scalable and resilient AI/ML products, e.g. recommendations system & personalization, chatbot, search, forecasting, etc. You are responsible for end-to-end machine learning product life cycle, i.e. EDA, experimentation, model development, productionisation, evaluation, automation with CI/CD pipeline, and A/B testing.
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our machine learning products that serve millions of DA users and businesses.
- Work with large and complex data sets to solve a wide range of challenging health care problems using different analytical, statistical, and machine learning algorithms.
- Identify and measure success of machine learning product efforts through goal setting, and monitoring of key metrics to understand trends.
- Identify, understand, and test opportunities and levers to improve the solutions, and drive initiatives through your insights and recommendations.
- Develop & conduct best practices in the AI team.
- Partner with product, engineering, analytics, business, and cross-functional teams to inform, influence, support, and execute AI initiatives.
- Responsible for maintaining the health of uptime SLA of the service.
- A Bachelor or Master in a quantitative field (Computer Science, Engineering etc).
- Experience of 1 - 3 years in AI, Machine Learning, Data Science role.
- Very good hands-on experience in Python.
- Solid knowledge of Machine Learning fundamental i.e. knowledge of models variant and use cases, end-to-end ML lifecycle process, model development, model selection, hyperparameter optimisation, feature engineering, evaluation etc.
- Good hands-on experience in Machine Learning algorithms & libraries like Tensorflow, Pytorch, Keras, Scikit, Pandas.
- Hands-on experience in one or more of the following topics: NLP, recommendation systems, predictive analytics, computer vision, search.
- Good hands-on experience in git, building CI/CD pipelines.
- Experience on how to operate docker images in microservice architecture.
- Experience in cloud platform GCP or AWS.
- Have a growth mindset, self-driven, high motivation & curiosity to learn.
- Experience delivering and driving action based on data-driven insights.
- Have analytical skills and proven experience working with complex & large data.
- Self-driven & team player, good communication skills.
- Have experience in GenAI/LLM.
AI Engineer
Posted today
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We are looking for a highly motivated and skilled AI Engineer to join the Technology Office at ST Engineering Urban Solutions. In this role, you will work closely with the CTO of Urban Solutions to explore and develop novel applications of Artificial Intelligence (AI) across the company's smart city product suite. You will play a key role in designing, prototyping, and deploying cutting-edge AI and Machine Learning (ML) solutions that address complex urban challenges. This includes leveraging advanced ML techniques and Generative AI to create innovative capabilities in areas such as intelligent transportation systems, energy-efficient buildings, estate management, and smart security.
Key Responsibilities:
1. Develop & Implement AI/ML Models: Identify new AI use cases and design, build, train, and deploy advanced AI/ML models, including deep learning, tailored for Smart City datasets (e.g., IoT sensor data, traffic camera feeds, energy consumption, customer feedback, etc.).
2. Leverage Advanced Frameworks: Utilize state-of-the-art ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras, XGBoost) for model development and experimentation.
3. Explore Generative AI: Research, experiment with, and implement Generative AI techniques (e.g., Large Language Models (LLMs), GANs, VAEs, Diffusion Models) to create unique solutions, such as generating synthetic data for training robust models, automating the creation of legal and financial documents, designing personalized content and so on.
4. Cross-functional Collaboration: Engage with product owners of various smart city solution portfolios to understand requirements, define problem statements, and translate them into technical AI solutions.
5. Solution Integration & Deployment: Work closely with software engineers from respective product teams to integrate AI models into production systems, ensuring scalability, reliability, and performance.
6. Stay Current: Keep abreast of the latest advancements in AI/ML, particularly in Generative AI, deep learning, and their applications within the Smart City domain. Share knowledge with the team.
7. Documentation: Maintain clear and comprehensive documentation for models, code, experiments, and processes.
Required Qualifications:
• 2+ years of hands-on experience developing and deploying AI/ML models in a production environment.
• Strong programming skills in Python and extensive experience with core data science libraries (e.g., Pandas, NumPy, SciPy).
• Proven experience with one or more major deep learning frameworks (TensorFlow, PyTorch).
• Solid understanding of fundamental and advanced ML concepts (e.g., supervised/unsupervised learning, reinforcement learning, deep learning architectures like CNNs, RNNs, Transformers).
• Experience handling and analyzing large, complex datasets.
• Strong analytical and problem-solving skills with the ability to tackle complex, ill-defined problems.
• Excellent communication and collaboration skills.
Preferred Qualifications:
• Demonstrable experience or strong interest in applying Generative AI models (LLMs, GANs, etc.) to real-world problems. Familiarity with frameworks like Hugging Face, LangChain, and experience with A2A and MCP protocols is a plus.
• Experience working with Smart City-related data, including IoT, video feeds, traffic flow data, and time-series sensor data
• Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow, Kubeflow).
• Proficiency with cloud computing platforms (AWS, Azure, or GCP) and their AI/ML services.
• Familiarity with Big Data technologies (e.g., Spark, Hadoop).
• Experience with edge computing or deploying models on resource-constrained devices.
• Proficient in using Git for version control, collaborative development, and managing codebases effectively in team environments.
• Contributions to open-source projects or relevant publications.