111 Artificial Intelligence jobs in Singapore

CFB Bots Pte Ltd is a leading technology company specializing in automation and AI. We are at the forefront of innovation, leveraging cutting-edge AI/ML technologies to develop intelligent solutions that transform businesses.

Our dynamic team is passionate about pushing boundaries and creating impactful solutions that drive positive change. We are committed to fostering a collaborative and inclusive work environment where interns can gain valuable experience and make a real difference.

About the Role

As an AI/ML Intern, you will be part of a dynamic R&D team that explores and implements state-of-the-art AI/ML solutions to solve complex problems. This internship will provide you with hands-on experience in the development, implementation, and evaluation of AI/ML models while working on real-world applications. Specifically, you will:

• Research, develop and implement appropriate AI/ML models and algorithms for various projects
• Analyse and implement strategies for data collection and extraction, and pre-processing
• Perform rigorous testing and validation of AI/ML models to ensure accuracy, reliability, and robustness
• Assist in optimizing and fine-tuning AI/ML models to improve performance and efficiency
• Document and communicate the technical details, progress, and results to team members and stakeholders

Requirements

• Possess or currently pursuing a Degree in Information Technology/Computer Science or relevant discipline
• Proficient in Python programming
• Understanding of machine learning, large language models, computer vision, natural language processing, etc
• Experience with popular AI/ML frameworks and libraries
• Self-motivated and results-oriented individual with an inquisitive mindset
• Able to work independently in a dynamic environment with assigned timelines

Interested candidates must submit your portfolio as part of the job application. In your application, please also indicate the name of the person that you most look up to.

• Design and develop cutting-edge AI and ML models to solve complex business and technical problems.
• Apply techniques such as supervised/unsupervised learning, deep learning (CNN, RNN, Transformers), NLP, and generative AI.
• Collaborate with data engineers, software developers, and product teams to deploy and integrate AI models into applications.
• Perform data analysis, preprocessing, feature engineering, and model evaluation.
• Research new AI algorithms and stay updated with the latest developments in the field.
• Publish findings in internal/external journals or conferences (optional for research-focused roles).
• Build scalable AI pipelines and workflows using modern tools and cloud platforms.
• Address ethical, legal, and privacy considerations in AI design.

• Master's or Ph.D. in Computer Science, AI, Machine Learning, Data Science, or related field.
• 5+ years of experience in designing and deploying machine learning or AI models in production environments.
• Strong programming skills in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar.
• Proficiency in data manipulation tools such as Pandas, NumPy, SQL, Spark.
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools for model deployment.
• Strong foundation in statistics, probability, optimization, and algorithm design.
• Experience with NLP, computer vision, or recommendation systems is a plus.
• Excellent problem-solving and communication skills.

• Contributions to open-source projects, published papers, or AI competitions (e.g., Kaggle).
• Experience with LLMs (Large Language Models) and prompt engineering.
• Familiarity with AI/ML governance, model interpretability, fairness, and responsible AI principles.

• Curious, self-driven, and innovative thinker.
• Collaborative and comfortable working in agile environments.
• Strong communication skills to present technical concepts to non-technical stakeholders.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business - Training & Simulation Systems

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact

Train better and smarter – as a Senior Engineer working on AI in Training and Simulation, you will play a pivotal role in transforming training by leveraging advanced algorithms and machine learning techniques to create more efficient training experiences. Successful candidate for this role will have the opportunities to work on many challenging use cases across a while range of AI technologies.

Be Part of Our Success

• Develop Proof of Concepts (POCs) for AI-related projects, including but not limited to:Large Language Models (LLM)
  
  Agentic AI
  
  Automatic Speech Recognition (ASR)
  
  Computer Vision
• Conduct research and stay updated with the latest advancements in AI and machine learning.
• Design, implement, and evaluate algorithms and models.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Document and present findings, methodologies, and results to stakeholders.
• Work independently to solve complex problems and drive projects to completion.

Qualities We Value

• Proven experience in AI and machine learning projects.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar.
• Experience with developing and deploying AI models.
• Knowledge of natural language processing, computer vision, and speech recognition technologies.
• Excellent problem-solving skills and the ability to work independently.
• Strong communication skills and the ability to present technical information clearly.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone's unique contributions are celebrated.
• Meaningful work and projects that make a difference in people's lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

• Design and develop cutting-edge AI and ML models to solve complex business and technical problems.
• Apply techniques such as supervised/unsupervised learning, deep learning (CNN, RNN, Transformers), NLP, and generative AI.
• Collaborate with data engineers, software developers, and product teams to deploy and integrate AI models into applications.
• Perform data analysis, preprocessing, feature engineering, and model evaluation.
• Research new AI algorithms and stay updated with the latest developments in the field.
• Publish findings in internal/external journals or conferences (optional for research-focused roles).
• Build scalable AI pipelines and workflows using modern tools and cloud platforms.
• Address ethical, legal, and privacy considerations in AI design.

• Master's or Ph.D. in Computer Science, AI, Machine Learning, Data Science, or related field.
• 5+ years of experience in designing and deploying machine learning or AI models in production environments.
• Strong programming skills in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar.
• Proficiency in data manipulation tools such as Pandas, NumPy, SQL, Spark.
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools for model deployment.
• Strong foundation in statistics, probability, optimization, and algorithm design.
• Experience with NLP, computer vision, or recommendation systems is a plus.
• Excellent problem-solving and communication skills.

• Contributions to open-source projects, published papers, or AI competitions (e.g., Kaggle).
• Experience with LLMs (Large Language Models) and prompt engineering.
• Familiarity with AI/ML governance, model interpretability, fairness, and responsible AI principles.

Join to apply for the Artificial Intelligence Architect role at AECOM

We are seeking a visionary and technically accomplished AI Architect to join our Digital team and lead the strategy, design, and delivery of advanced AI-driven solutions.

This senior role offers a unique opportunity for a passionate technologist to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment. Your work will drive innovation in automation and optimisation across infrastructure systems and building design.

As a core team member, you will shape the integration of AI into engineering workflows, collaborating across disciplines to deliver scalable, reliable, and intuitive solutions. Join us in transforming infrastructure design and delivery by leveraging cutting-edge AI technologies to address pressing urban challenges.

Responsibilities:

1. Design robust, scalable AI/ML architectures, including model pipelines, data ingestion, and deployment frameworks tailored to infrastructure projects.
2. Define and drive the AI roadmap for infrastructure planning and design, aligning with AECOM’s digital delivery goals and client needs.
3. Guide the development and fine-tuning of AI models to ensure compliance with regulatory standards and engineering principles.
4. Develop scalable scripts and model training pipelines using Python.
5. Lead AI tool integration with existing engineering software (e.g., ArcGIS, AutoCAD Civil 3D, Revit, Rhino, FME), ensuring seamless interoperability.
6. Mentor AI engineers and collaborate with civil engineers, utility specialists, and GIS/BIM experts to bridge domain knowledge with AI capabilities.
7. Establish best practices for model validation, versioning, explainability, and compliance with standards.
8. Evaluate and implement emerging AI technologies (e.g., LLMs, generative design, reinforcement learning) applicable to geospatial and infrastructure challenges.

Qualifications:

1. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, AI, or related engineering fields. Advanced degrees preferred.
2. 8+ years of AI/ML development experience, including at least 3 years in an architectural or leadership role.
3. Proven experience applying AI to real-world problems, especially in spatial/geometric analysis, geospatial data, or engineering.
4. Proficiency in Python and frameworks like PyTorch, TensorFlow, scikit-learn.
5. Strong understanding of data architecture, MLOps pipelines, cloud platforms (Azure/GCP/AWS), and model governance.
6. Excellent communication skills, capable of engaging both technical and non-technical stakeholders.

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industry: Civil Engineering

Note: This job posting is active. Apply now to join AECOM’s innovative team in shaping the future of infrastructure through AI.

Direct message the job poster from Capgemini

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Position Overview: We are seeking an experienced AI Architect with a strong background in Machine Learning to join our team. The ideal candidate will have over 10 years of experience in AI/ML model development and deployment, along with deep dive analysis skills. This role also requires at least 3 years of experience as a Solution Architect.

Key Responsibilities: -

• Develop and deploy AI/ML models with a focus on deep dive analysis.
• Implement end-to-end data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.
• Demonstrate expertise in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Conduct model validation, explainability, monitoring, and management (AI Glass Box).
• Utilize latent semantic analysis, document similarity models, document classification, text analytics, and language models.
• Develop recommender systems using content-based and collaborative filtering techniques.
• Apply computer vision and image analytics, including neural networks, convolutional neural networks, and recurrent neural networks.
• Perform statistical modeling and predictive analytics.
• Conceptualize and implement Generative AI solutions.

Required Skills and Experience: -

• Over 10 years of experience in AI/ML model development and deployment.
• At least 3 years of experience as a Solution Architect.
• Proficiency in implementing data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.
• Strong competencies in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Experience with model validation, explainability, monitoring, and management (AI Glass Box).
• Knowledge of latent semantic analysis, document similarity models, document classification, text analytics, and language models.
• Expertise in recommender systems, computer vision, and image analytics.
• Familiarity with neural networks, convolutional neural networks, and recurrent neural networks.
• Experience in statistical modeling and predictive analytics.
• Proven ability to conceptualize and implement Generative AI solutions.

Tools & Technologies: -

• Python
• NLTK
• SQL
• PySpark
• Hive
• ADO skills are a plus

Why Capgemini is unique

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people.

Get the future you want

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is. Capgemini.

Get The Future You Want

We look forward to welcoming a highly skilled and motivated Architect to our team. If you have a passion for machine learning and a track record of delivering innovative solutions, we encourage you to apply.

• Seniority level Director

• Employment type Full-time

• Job function Consulting, Information Technology, and Engineering
• Industries Information Services, Software Development, and IT Services and IT Consulting

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Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

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Direct message the job poster from G&L Consulting

Job Title: AI Architect - APAC

Location: APAC Region (Remote/Hybrid options available) - Based out of Singapore

Department: AI & Data Science

Reports To: Head of AI Engineering

Candidates MUST be eligible to work in Singapore

Job Summary:

We are seeking a highly skilled and innovative AI Architect to lead the design, development, and deployment of advanced AI solutions across the APAC region. This role focuses on leveraging Azure AI Foundry , Copilot, LLMs , and Azure Machine Learning services to build scalable, secure, and high-performance AI systems. You will play a key role in shaping AI strategy, building intelligent agents, and integrating cutting-edge technologies into real-world applications.

Key Responsibilities:

• Architect and implement AI models using Azure AI Foundry , Copilot, LLMs , and Azure ML services .
• Design and scale AI platforms incorporating RAG (Retrieval-Augmented Generation) , LLMs , and ML pipelines .
• Develop intelligent AI agents using open standards (e.g., MCP, A2A) and Multi-Agent System principles.
• Collaborate with engineering teams to ensure best practices in AI deployment , security , and performance optimization .
• Partner with clients to translate business needs into robust, scalable AI solutions.
• Ensure seamless integration with Azure Cognitive Services , OpenAI models , and vector databases (e.g., Azure AI Search, FAISS, CosmosDB, Pinecone).

Required Qualifications:

• Proven experience with Azure AI Foundry, Copilot, and its ecosystem.
• Strong background in LLM fine-tuning , RAG , and AI-driven application development .
• Proficiency in Python and ML frameworks such as PyTorch and TensorFlow .
• Hands-on experience with Azure Cognitive Services , OpenAI APIs , and vector search technologies .
• Deep understanding of AI security , MLOps , and deploying scalable AI solutions.
• Ability to troubleshoot, optimize, and monitor AI models for performance and accuracy.

Preferred Skills:

• Experience with multi-agent orchestration frameworks .
• Familiarity with cloud-native AI architectures and DevOps for AI .
• Strong communication and client-facing skills.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Queenstown, Central Singapore Community Development Council, Singapore 5 months ago

Queenstown, Central Singapore Community Development Council, Singapore 5 months ago

Downtown Core, Central Singapore Community Development Council, Singapore 3 weeks ago

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Join Our Growing Team!

We’re looking for passionate, driven individuals to join us on our journey to shape the future of Web3. If you thrive in a fast-paced environment and love solving meaningful challenges, this opportunity is for you!

About Us:

aelf is an AI Layer 1 blockchain network that leverages the robust C# programming language. It integrates AI innovations across its digital mediums, dApp ecosystem, and an AI agent framework to bring user-friendly experiences for developers and end-users.

Job Responsibilities:

• Conduct demand analysis, architecture design, module design, and subsequent development and maintenance of backend business functions.
• Continuously refine and enhance the product’s backend functional modules, optimizing backend technology architecture with a focus on cloud-native principles.
• Improve the performance of existing systems and address key technical challenges and issues within the system.
• Collaborate with the team to complete other relevant operational tasks as needed.
• Design, develop, and deploy machine learning and deep learning models for various business applications.
• Establish best practices in AI development, including model training, evaluation, deployment, and monitoring.
• Ensure ethical AI practices, data privacy compliance, and responsible AI implementation.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Ph.D. is a plus.
• 5+ years of experience in AI/ML development.
• Strong programming skills in Python, TensorFlow, PyTorch, and other AI/ML frameworks.
• Hands-on experience with deep learning architectures (CNNs, RNNs, Transformers) and NLP models (BERT, GPT, etc.).
• Experience with cloud AI services (AWS, GCP, Azure) and MLOps best practices.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work in a fast-paced, agile environment and handle multiple projects simultaneously.

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries Technology, Information and Internet, IT System Custom Software Development, and Software Development

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South East Community Development Council, Singapore 15 hours ago

Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

South East Community Development Council, Singapore 1 week ago

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Continue with Google Continue with Google

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We’re looking for a Full Stack Developer to join our AI Platform team. You’ll be building tools and systems that help teams easily develop and deploy Generative AI use cases in a secure and scalable way. The platform includes SDKs, APIs, and portals that connect to services like Azure OpenAI and AWS Textract.

Key Responsibilities:

• Develop and maintain backend APIs using Python (FastAPI, Pydantic, Poetry).
• Build and enhance frontend interfaces using React.
• Support AI-powered workflows, including chat and non-chat use cases.
• Improve scalability for high-concurrency AI workloads.
• Contribute to innovation features and rapid prototyping.
• Enhance API gateways (Apollo to Kong).
• Integrate with cloud platforms and external AI services (Azure OpenAI, AWS Textract, etc.).
• Work on infrastructure-as-code using Terraform.
• Automate CI/CD pipelines using tools like GitHub Actions, GitLab, or Jenkins.
• Work within a team using solid engineering practices like TDD and SOLID principles.

Requirements:

• Bachelor’s degree in a STEM field (Science, Technology, Engineering, Mathematics).
• 3+ years of software development experience.
• CI/CD pipelines using tools like GitHub Actions, GitLab, or Jenkins.
• Strong in Python development with production-ready experience.
• Python libraries: FastAPI, Pydantic, Poetry, Artificial Intelligence libraries (e.g. Langflow).
• At least 2 years working on platform tools or internal developer tools.
• Experience with cloud platforms like AWS, Azure, or GCP.
• Familiar with container technologies like Kubernetes, EKS, or OpenShift.
• Familiar with AI/ML tools or platforms (e.g., Langflow).
• Good understanding of Terraform and infrastructure-as-code.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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South East Community Development Council, Singapore 4 days ago

Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

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