500 AI Engineer jobs in Singapore

• Microsoft Azure certification(s) such as DP-203, AI Engineer Associate, or Azure Solutions Architect.

• Experience with large-scale AI implementations in enterprise environments.

• Exposure to vector databases and LLM integration for AI-powered search and analytics.

• Design, build, and optimize data pipelines and workflows to support AI and analytics initiatives.

• Work hands-on with Copilot Studio for AI-driven application development and automation.

• Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.

• Develop and deploy RAGs (Retrieval-Augmented Generation) solutions for enterprise AI use cases.

• Collaborate with data scientists, solution architects, and business stakeholders to deliver AI-enabled data products.

• Manage and optimize data storage, integration, and retrieval strategies across structured and unstructured data sources.

• Ensure best practices in data governance, security, and compliance within Azure cloud infrastructure.

• Hands-on expertise in Microsoft Azure services (Data Factory, Databricks, Synapse, Cognitive Services, AI Foundry, etc.).

• Practical implementation experience with Copilot Studio.

• Proven experience in RAGs (design, creation, and deployment).

• Strong programming/scripting knowledge (Python, SQL, PySpark, etc.).

• Experience with ETL/ELT, data warehousing, and API integrations.

• Good understanding of MLOps and AI deployment frameworks.

• Strong problem-solving skills, ability to work in fast-paced environments, and excellent communication skills.

Job Description – AI Engineer

Location: Singapore

Employment Type: Full-time

Department: Technology / Engineering

About Toffs Technologies

Toffs Technologies is a trusted leader in cybersecurity, AI, and cloud solutions , helping enterprises build resilience against evolving digital threats. With a strong presence across Asia, we deliver next-generation services such as DDoS protection, WAF, CDN, and advanced AI-driven solutions that empower businesses to operate securely in a connected world.

About the Role

We are seeking a forward-thinking AI Engineer to join our team and develop innovative AI-driven solutions that strengthen cybersecurity and enhance digital resilience. You will collaborate with data scientists, software engineers, and cybersecurity experts to design and deploy scalable AI systems for threat detection, network optimization, and enterprise security solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML models tailored for cybersecurity use cases (e.g., anomaly detection, threat intelligence, fraud detection, predictive analytics).
• Build scalable data pipelines and automate ML workflows for real-time security monitoring.
• Collaborate with cybersecurity teams to integrate AI solutions into TOFFS' products and services (e.g., DDoS mitigation, WAF, cloud security).
• Perform large-scale data preprocessing, feature engineering, and continuous model evaluation.
• Research and implement cutting-edge AI techniques in natural language processing (NLP), generative AI, and network traffic analysis .
• Develop APIs and tools to integrate AI functionalities into enterprise client platforms.
• Stay updated with emerging AI/ML and cybersecurity trends to drive innovation.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
• Solid understanding of machine learning, deep learning, and anomaly detection methods .
• Experience with data engineering tools (Pandas, NumPy, Spark, SQL) and cloud platforms (AWS, GCP, Azure).
• Familiarity with cybersecurity concepts, network protocols, and security analytics .
• Strong problem-solving and analytical skills with the ability to handle complex datasets.

Preferred Qualifications

• Hands-on experience with AI for cybersecurity applications (malware detection, intrusion detection, phishing detection).
• Knowledge of MLOps practices (CI/CD for ML, Docker, Kubernetes, MLflow).
• Exposure to big data platforms and real-time data processing.

AI Engineer

Location:Singapore

Job Type:Full time

Experience:From 0 yrs

Areas of Study:

Language:English

Education Level:Bachelor

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and

deploying AI solutions that optimize our HR processes. You'll bridge the gap between AI

research and application, translating innovative concepts into tangible, impactful features.

• Collaborate with cross-functional teams to design, develop, and implement AI features,

focusing on areas like natural language processing, data analysis, and predictive

modeling.

• Work with customers to understand their needs and translate them into AI solutions.
• Conduct research and rapid prototyping of new AI algorithms and techniques,

particularly those involving LLMs to address specific client requirements.

• Write clean, well-tested, and well-documented code, contributing to a high-quality

codebase.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software

Engineering, Artificial Intelligence or a related field.

• Able to commit to a 6 months internship duration.
• You are a team player that enjoys collaborating and communicating with diverse groups.
• You enjoy tackling large challenges and enjoy discovering problems as much as solving

them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic

environment.

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).
• You have experience in agentic frameworks (e.g., LangChain, LlamaIndex) for building

LLM-powered applications.

• You have strong technical skills in Python.
• You are adept at optimizing, refactoring, and improving Python code, ensuring our

systems are efficient, scalable, and maintainable

• You have hands-on experience with cloud platforms (GCP).
• You have a strong interest in reinforcement learning.
• You have experience working with audio and video data.

Note

• We regret to inform you that our company does not have a work quota for foreign

applicants.

We are hiring AI Engineer with below requirements;

Key Responsibilities

• Microsoft Azure certification(s) such as DP-203, AI Engineer Associate, or Azure Solutions Architect.
• Experience with large-scale AI implementations in enterprise environments.
• Exposure to vector databases and LLM integration for AI-powered search and analytics.
• Design, build, and optimize data pipelines and workflows to support AI and analytics initiatives.
• Work hands-on with Copilot Studio for AI-driven application development and automation.
• Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.
• Develop and deploy RAGs (Retrieval-Augmented Generation) solutions for enterprise AI use cases.
• Collaborate with data scientists, solution architects, and business stakeholders to deliver AI-enabled data products.
• Manage and optimize data storage, integration, and retrieval strategies across structured and unstructured data sources.
• Ensure best practices in data governance, security, and compliance within Azure cloud infrastructure.
• Hands-on expertise in Microsoft Azure services (Data Factory, Databricks, Synapse, Cognitive Services, AI Foundry, etc.).
• Practical implementation experience with Copilot Studio.
• Proven experience in RAGs (design, creation, and deployment).
• Strong programming/scripting knowledge (Python, SQL, PySpark, etc.).
• Experience with ETL/ELT, data warehousing, and API integrations.
• Good understanding of MLOps and AI deployment frameworks.
• Strong problem-solving skills, ability to work in fast-paced environments, and excellent communication skills.

AI Engineer: Recognition of Road Weather Conditions and Sensing Impact Analysis

The weather team works cross-functionally to develop technologies that ensure safe autonomous driving in all weather conditions. We're seeking skilled data scientists to help us overcome the challenges of adverse weather.

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.

Locations: Singapore

7000SGD SGD/month

Responsibilities:

• Develop perception features to recognize road weather conditions, quantify weather impact on sensing, and identify sensing degradation.
• Collaborate across teams to adapt sensor fusion techniques, integrate sensor cleaning system, and implement mitigation strategy to enhance autonomous driving reliability under reduced visibility.
• Develop data mining, labeling, training and evaluation pipelines for model adaption in adverse weather conditions.
• Conduct tests and simulations in various weather conditions to evaluate system performance and mitigation strategy.

Qualifications:

• Master's or PhD.
• Experience with computer vision and deep learning.
• Understanding of various effects of weather on sensor data.
  Excellent communication, strong analytical thinking and problem-solving skills.

Preferred Skills:

• Experience with autonomous vehicle technology or robotics.
• Experience with machine learning and AI foundation models.
• Experience with Python/C++.

Job Description:

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit

As an AI Engineer with the AI & Data Strategy Product Department, you will be responsible for working on-site with development teams to build and maintain AI-driven software solutions, ensuring technical excellence and alignment with project requirements. In this role, you will have the opportunity to apply your programming skills and knowledge of AI/ML to create innovative products while collaborating closely with a cross-functional team in a dynamic environment.

Responsibilities:

• Design, develop, and implement AI-driven features and applications, with a primary focus on chatbot development and conversational AI, that meet business and user needs.
• Write clean, efficient code in Python to build and integrate machine learning models. Leverage frameworks and libraries for working with large language models and natural language processing pipelines.
• Utilize cloud services to train, deploy, and manage machine learning models, ensuring solutions are scalable, secure, and reliable.
• Test, debug, and fine-tune AI models and chatbot systems. Monitor performance and accuracy and iterate on solutions to improve response quality and system efficiency.
• Work closely with senior AI engineers, data scientists, and product managers to understand project requirements and translate them into technical solutions. Assist in integrating AI capabilities into existing products, providing technical support to team members during development.
• Contribute to creating and maintaining technical documentation, including software design documents and user guides for AI components. Ensure that knowledge is shared and technical clarity is maintained across the team.

Skills and Experiences:

• Fresh graduates are welcome to apply
• Bachelor's degree in computer science, Data Science, or a related field. Equivalent practical experience or relevant certifications in AI/ML will also be considered.
• Understanding of machine learning and deep learning concepts. Exposure to building or training models for natural language processing or similar AI applications
• Experience or projects involving chatbot development or conversational AI systems. Understanding of how dialog systems and language models work, and ability to implement simple conversational flows.
• Strong analytical and problem-solving skills, with a willingness to tackle complex technical challenges.
• Good communication skills and the ability to work effectively in a team environment. Comfortable collaborating in a cross-functional, multicultural team and capable of explaining technical concepts to non-technical colleagues when needed.
• Familiarity with Kubernetes (K8s) for GPU workloads (e.g., KubeFlow, Volcano).
• Contributions to open-source ML frameworks (e.g., PyTorch, DeepSpeed, vLLM).
• Experience with inference serving frameworks (e.g., vLLM, TensorRT-LLM, Triton, Hugging Face TGI).

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religiou s belief, or age.

Key Responsibilities:

AI Model Development: Design, develop, and deploy machine learning models and algorithms to solve complex business problems.

System Maintenance: Monitor and maintain AI systems to ensure optimal performance, reliability, and scalability.

Data Management: Collect, pre-process, and analyze large datasets to train and validate AI models.

Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholder, to integrate AI solutions into existing systems.

Continuous Improvement: Stay updated with the latest advancements in AI and machine learning, and implement best practices to enhance our AI capabilities.

Experience:

• System Integration & Deployment
• System Monitoring and Maintenance
• Software system version control

Knowledge and Skills:

• Programming Languages
• Machine Learning & Deep Learning
• Data Management
• Natural Language Processing
• Computer Vision
• Computer System Monitoring and Maintenance
• Good communication skills, both written and oral
• Team player with the ability to work independently
• Stakeholder Management
• Analytical Skills
• Problem Solving Skills

Education, Qualifications and Special Training

• Educational Background: Bachelor's or Master's Degree in Computer Science, Engineering, or a related field.
• Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.
• Communication: Excellent verbal and written communication skills to effectively convey technical concepts to non-technical stakeholders.
• Experience: Prior experience in AI/ML projects, preferably in a corporate setting.

Personality Traits:

• Strong sense of responsibility and task ownership
• Strong communication skills and interpersonal skills
• Strong curiosity about new technologies, management paradigms that are relevant to the company and Marine industry
• Able to work under pressure
• Able to work independently, and with incomplete information

Other Information:

• Location: Benoi Road (Island-wide transport provided)
• 5 days work week
• Working Hours: 7.25am-5pm

Company:

Location: Singapore

is building next-generation automation tools that generate value-based content and boost productivity across industries. We specialize in integrating frontend, backend, and AI systems into seamless products that empower enterprises and creators. With a strong commitment to AI safety and ethics , we are dedicated to responsible AI adoption that drives innovation while ensuring trust and compliance.

We are looking for an AI Engineer with hands-on expertise in Agentic AI systems, LLM-driven applications, Retrieval-Augmented Generation (RAG), and Generative AI (GenAI) . The ideal candidate will have strong foundations in end-to-end AI pipeline deployment , a passion for AI safety and responsible AI practices , and the ability to work across both system architecture and product implementation .

This role offers the opportunity to co-create automation products that sit at the intersection of AI, productivity, and scalable design .

• Agent Engineering : Design and build intelligent AI agents capable of decision-making, tool usage (APIs, code execution, databases), and multi-agent collaboration for task delegation and workflow automation.
• RAG & LLM Applications : Develop secure, enterprise-ready RAG pipelines for improving information retrieval, contextual accuracy, and scalability across content intelligence and automation use cases.
• Generative AI Development : Fine-tune transformers and integrate ControlNet, LORA, and diffusion-based models to deliver high-quality content generation across modalities.
• Product & Automation Integration : Work on both frontend (interactive user experiences) and backend (APIs, databases, pipelines) to ensure smooth product delivery.
• Knowledge Management Systems : Build context-aware knowledge agents that empower customer support, content creation, and enterprise workflows.
• AI Safety & Governance : Implement guardrails, ethical guidelines, and monitoring systems to ensure safe, reliable, and compliant AI deployments.
• Collaboration : Work with cross-functional teams on scalable deployment using cloud platforms (GCP, AWS, Azure) and workflow automation tools.

• Strong experience in Python , PyTorch , and AI frameworks such as LangChain, LangSmith, Hugging Face, and FastAPI .
• Demonstrated work on Agentic AI workflows, RAG pipelines, and GenAI solutions .
• Hands-on experience with cloud platforms (Google Cloud Platform, Vertex AI, BigQuery, Docker, Kubernetes, AWS, or Azure).
• Proficiency in vector databases, API integration, and scalable system design .
• Exposure to computer vision, NLP, and reinforcement learning is a plus.
• Strong understanding of AI safety, ethics, and responsible AI practices .
• Familiarity with workflow automation tools (e.g., Power Automate, UiPath) is desirable.
• Problem-solving mindset with the ability to translate research into production-ready solutions .

• Be part of a fast-growing company shaping the future of AI-powered productivity tools .
• Work on cutting-edge GenAI and Agentic AI systems with real-world impact.
• Opportunity to co-create open-source projects and contribute to the AI community.
• A culture that values innovation, collaboration, and responsible AI .

The AI Engineer will be a key contributor to Heineken's Global GenAI Lab in Singapore, designing, developing, and implementing end-to-end AI solutions that deliver measurable business impact across the organization. This role combines deep technical expertise in generative AI with strong software engineering skills to build scalable, production-ready systems. You will work as part of a fast-moving technical team with start-up agility within enterprise scale, experimenting with cutting-edge AI technologies while solving real-world business challenges through innovative GenAI applications. The ideal candidate is a versatile engineer who can adapt quickly, think creatively, and become a domain expert while collaborating effectively in a fast-paced, high-impact environment.

Key Responsibilities:

AI Solution Development

• Design and develop GenAI models and applications from concept to production, including model selection, fine-tuning, and optimization for specific business use cases.
• Build end-to-end AI solutions that integrate seamlessly with existing enterprise systems and workflows.
• Implement sophisticated prompting strategies and language engineering techniques to maximize model performance and reliability.
• Create functional demonstration interfaces and prototypes using tools like Gradio, Streamlit, or custom web applications.
• Stay current with the latest developments in GenAI, including models from OpenAI, Google, Anthropic, and open-weight alternatives.

Software Engineering & API Development

• Build robust, scalable APIs and microservices that serve AI models in production environments.
• Develop containerized applications using Docker and orchestration platforms for reliable deployment.
• Create and maintain clean, well-documented code that follows best practices for enterprise software development.
• Implement proper error handling, logging, and monitoring for AI applications.
• Collaborate with cross-functional teams using agile development methodologies.

Data Pipeline Engineering

• Design and implement robust data pipelines for preparation, cleaning, and integration of diverse data sources.
• Handle enterprise data challenges including Excel files, PowerPoint presentations, and Office 365 integrations.
• Build ETL processes that ensure data quality and consistency for AI model training and inference.
• Implement data processing solutions that scale efficiently with growing data volumes.
• Develop data validation and monitoring systems to maintain pipeline reliability.

Enterprise Integration & Deployment

• Integrate AI solutions with existing business systems, databases, and enterprise applications.
• Navigate complex enterprise environments and work with legacy systems and data formats.
• Implement security best practices and ensure compliance with enterprise governance requirements.
• Manage model lifecycle including version control, A/B testing, and performance monitoring.
• Build solutions that handle enterprise-scale data processing and user loads.

Research & Innovation

• Experiment with emerging GenAI technologies, frameworks, and methodologies
• Conduct applied research to solve novel business problems using state-of-the-art AI techniques.
• Evaluate and benchmark different AI models and approaches for specific use cases.
• Contribute to the lab's knowledge base and share learnings across the team
• Participate in the broader AI community through conferences, publications, or open-source contributions.

Key Requirements:

Education: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related technical field preferred. Strong consideration given to candidates with equivalent practical experience, professional certifications (including AI Singapore certifications), or demonstrated expertise through portfolio work and contributions to AI projects.