881 Artificial Intelligence jobs in Singapore

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in AI/ML engineering or a similar role.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

• Experience with distributed computing frameworks (e.g., Spark, Hadoop).
• Knowledge of deep learning architectures and techniques.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Contributions to open-source AI/ML projects.

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 seeking a talented and highly motivated Artificial Intelligence (Computer Vision - Algorithms) Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As an Artificial Intelligence (Computer Vision - Algorithms) Intern, you will:

• Implement Computer Vision pipelines using OpenCV and Deep Learning (CV) models
• Work with our AI Full-time engineers to define business challenges that require the use of various ML/DNN & Computer Vision Algorithm techniques
• Improve existing codebase by adding Computer Vision features and debugging errors

Minimum Requirements

• Completed at least 1 year of studies as part of a Diploma, Bachelor or Master in one of the following subjects: IT | Engineering | Computer Science | Information Systems | Statistics | Mathematics
• At least 3 months experience in Python programming
• Basic understanding of Computer Vision techniques. (I.e. Experience with OpenCV)
• Completed at least 1 Uni/Online hands-on course in Machine Learning.
• Experience with one or more ML tools such as Tensorflow, PyTorch etc.
• Good to have: Docker Experience | C++

Soft Skills / Commitment:

• Available for at least a 6-month internship
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• Possess a positive learning attitude
• Willingness to travel to customer site to support project needs
• Ability to communicate and collaborate with other team members / external teams
• Deliver project requirements within specified timelines

Why join Cynapse?

• Unique opportunity to work with a talented global team on cutting-edge technologies
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates who are only based in Singapore or have experience studying/working in Singapore.

We are seeking a highly motivated and experienced AI/ML Engineer to join our innovative team. The successful candidate will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that drive our services forward.

This role requires a strong understanding of machine learning principles, proficiency in relevant programming languages and frameworks, and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications.

Qualifications

Required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in AI/ML engineering or a similar role.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred:

• Experience with distributed computing frameworks (e.g., Spark, Hadoop).
• Knowledge of deep learning architectures and techniques.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Contributions to open-source AI/ML projects.

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Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Job Summary

We’re looking for an AI Engineer to support our team in Singapore .

This is a 12 months renewable contract role.

Job Description:

We’re seeking an experienced AI Engineer to join our core team responsible for building our internal AI CodeGen platform – a productivity accelerator used by engineering teams to automate code generation, testing, and more. 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 across the SDLC. 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.

Deep Technical Proficiency

• 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

Key Responsibilities

• 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.

Preferred Experience

• 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

About CLPS RiDiK

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

• Seniority level Mid-Senior level

• Employment type Contract

• Industries IT Services and IT Consulting

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Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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Direct message the job poster from TENTEN Partners

Join a leading global firm and play a key role in developing a cutting-edge AI/ML platform! Work closely with the GenAI lead to create scalable, resilient, and high-performance AI/ML solutions. If you have a strong MLOps background and experience in building robust AI/ML platforms, this role is for you.

Responsibilities

ML Model Deployment & Monitoring – Serve as the central point for ML model refactoring, optimization, containerization, and deployment while ensuring high-quality output.

Governance & Compliance – Conduct reviews to ensure ML models comply with governance principles like versioning, lineage tracking, and coding best practices.

CI/CD Pipelines & Automation – Develop pipelines for continuous operation, feedback, and monitoring of ML models, addressing data drift, retraining triggers, and rollbacks.

AI Environment Optimisation – Enhance development, testing, and production environments for maximum usability, reliability, and performance.

Cross-Team Collaboration – Work closely with infrastructure, application development, and data engineering teams to integrate ML models into enterprise applications and ensure seamless data flow.

Tech Evaluation & Innovation – Stay ahead of the curve by assessing open-source AI/ML platforms and tools, ensuring optimal performance and integration.

Requirements

Programming & Scripting: Proficiency in Python for ML and automation tasks, with working knowledge of Bash and Unix/Linux commands.

CI/CD & Orchestration: Hands-on experience with Jenkins, GitLab CI, GitHub Actions or similar tools for pipeline orchestration.

Cloud & Containerisation: Strong understanding of OpenShift, Kubernetes, AWS, GCP, or Azure.

ML Libraries & Frameworks: Experience with Pandas, NumPy, TensorFlow, H2O, and at least one MLOps framework (e.g., Kubeflow, AWS SageMaker, Google AI Platform, DataRobot, H2O, or Dataiku).

Big Data & Workflow Orchestration: Knowledge of Spark, Dask, Airflow, or Ctrl-M for distributed data processing and workflow automation.

Monitoring & Logging: Familiarity with Splunk, Geneos, and other logging tools for tracking model performance and troubleshooting.

AI & ML Operationalisation: Strong expertise in scaling, managing, and governing ML models while implementing industry best practices in MLOps.

Leave:22 days annual leave

Healthcare: Comprehensive medical insurance

If this role excites you and you'd like to have a discussion, please reach out to

Equal Opportunity Statement

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Technology, Information and Media

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Johor Baharu, Johore, Malaysia 3 days ago

Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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Talent Link by e2i is a programme to match candidates to job opportunities offered by e2i’s Industry Partners. Applicable for Singaporeans and Singapore Permanent Residents only.

This job opportunity is from our Industry Partner which is an analytics startup.

Job Descriptions

• We're looking for a brilliant AI Agent Engineer to join our pioneering team. In this role, you will be at the heart of our mission to revolutionize data center operations through artificial intelligence.
• You will design and build intelligent agents that think, learn, and act.
• These agents will leverage Large Language Models (LLMs), digital twins, and real-time data to automate complex decisions, optimize energy consumption, and create self-operating infrastructure
• Architect & Build: Design, develop, and deploy autonomous agentic systems and LLM-powered co-pilots for critical data center applications.
• Innovate: Spearhead research and building of novel agent architectures, including tool-use, planning, and multi-agent collaboration for simulation-based optimization.
• Integrate: Seamlessly connect your AI agents with our sophisticated digital twins, real-time telemetry pipelines, and domain-specific simulation models.
• Collaborate: Work in a tight-knit, cross-functional team of data scientists, system engineers, and data center domain experts to build groundbreaking solutions.
• Test & Refine: Rigorously evaluate and benchmark agent performance in both simulated and real-world environments to ensure robustness and efficiency.
• Lead & Learn: Stay at the forefront of AI research in LLMs, reinforcement learning, and agentic systems, sharing your findings through publications and internal knowledge-sharing.

Job Requirements

• A degree in Computer Science, AI, Machine Learning, or a related technical field.
• Proven backend development experience, with a strong ability to build robust and scalable systems.
• Hands-on experience building with LLMs, agentic frameworks, and/or generative AI
• Expert-level programming skills in Python and deep familiarity with core ML/LLM libraries (e.g., PyTorch, LangChain, OpenAI APIs).
• Practical knowledge of RAG, prompt engineering, and designing agents that use external tools.
• Nice-to-Haves: Familiarity with distributed systems, data engineering, or digital twin platforms.
• Experience with telemetry data, time-series analysis, or IoT device integration.
• A background in industrial automation, robotics, or control systems would be a strong plus.
• Contributions to open-source AI projects or a portfolio of relevant personal projects.

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries IT Services and IT Consulting

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Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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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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Get notified about new Artificial Intelligence Specialist jobs in Singapore, Singapore .

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

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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.

Key Responsibilities

• We seek a seasoned expert in research and implementation of high-performance AI/ML algorithms, models, and pipelines.
• The ideal candidate will collaborate with engineers to collect and process data, as well as integrate AI/ML components within the product suite.
• The successful candidate will optimize and test AI/ML components to validate their efficacy and robustness in production environments.
• You will propose innovative solutions that consider the broader context in which AI/ML is applied.
• We expect you to be a subject matter expert in the AI/ML domain, staying up to date on the latest advancements.

• A Bachelor's degree in Computer Science or a related field is required.
• Strong Python programming skills are essential.
• Prior experience with solving real-world problems using ML frameworks is necessary.
• You should be resourceful and independent in performing research and solving problems.
• Familiarity with software architecture and confidence with computer and operating system fundamentals is necessary.
• Naturally curious and committed to continuous learning in a fast-evolving technical landscape.
• Excellent communication and collaboration skills are required.