47 AI Development jobs in Singapore

We are seeking a highly skilled and experienced Artificial Intelligence Software Developer to join our team. This position will involve working on various projects, including multi-agent simulation platforms, collaborative research projects, and software development.

Main Responsibilities:

• Developing and maintaining the core of a multi-agent simulation platform in cooperation with other entities.
• Contributing to modeling the physics part of the simulator and driving further developments and/or configuring parameters for each model.
• Participating in project reviews, helping to resolve issues, avoiding misunderstandings between parties, and ensuring close technical follow-up of local R&D activities.
• Contribute to final R&D outcomes and deliverables.

Required Skills and Qualifications:

• Proficiency in C/C++/C# and experience with gRPC and protobuf.
• Experience with robotics simulation frameworks such as ROS2/Gazebo.
• Good knowledge of physics simulators and fluid dynamics.
• Knowledge of path planning algorithms (such as A*, D*, etc).
• Experience in ML/DRL implementations.
• Software developments knowledge about REST API and frontend frameworks.
• Proficient in Python/Docker/SQL.

Benefits:

This role offers an excellent opportunity to work on cutting-edge projects and contribute to the development of innovative solutions. If you are passionate about AI and software development and have the required skills and qualifications, we encourage you to apply.

We are seeking a highly motivated AI Development Specialist Intern to join our team. As an intern, you will be responsible for assisting in the development of multimodal AI algorithms.

Key Responsibilities:

• Assist in data handling and preprocessing
• Support algorithm development and testing
• Run experiments and document results
• Review relevant literature and propose ideas for improvement
• Ensure code and data management standards

To be successful in this role, you should have:

• Fundamental knowledge of multimodal AI concepts
• Experience with data preprocessing and machine learning frameworks (e.g. PyTorch or TensorFlow)
• Excellent problem-solving skills and attention to detail
• Ability to work independently and as part of a team

We offer a competitive allowance and paid annual leave for interns who complete more than 3 months of service. Our supportive culture champions continuous learning, collaboration, and growth. You will also gain experience working within a well-established Japanese multinational corporation.

We provide training on software tools such as git for version control, ML/DL frameworks, and soft skills like agile project workflow, documentation & reporting, literature review skills.

• Develop and fine-tune AI and CV models for video analytics applications, including object detection, tracking, anomaly detection, and behavioural analysis in CCTV feeds.
• Deploy CV systems on CPU and GPU servers, optimizing for performance, scalability, and resource efficiency in production environments.
• Design and implement end-to-end CCTV system integrations, handling RTSP stream inputs, video decoding outputs, and embedding CV/AI/VA engines for real-time processing.
• Collaborate on client-server architectures, ensuring robust communication between CCTV cameras, servers, and networked devices.
• Optimize AI models for low-latency inference on edge devices or cloud servers, focusing on CCTV-specific use cases like security monitoring and video surveillance.
• Troubleshoot and debug issues related to video streams, network connectivity, and system performance.
• Conduct testing, validation, and deployment of AI solutions, ensuring compliance with industry standards for data privacy and security.
• Stay updated on emerging CV and AI technologies, contributing to R&D initiatives for next-gen video analytics.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on Computer Vision (CV).
• 3+ years of professional experience in AI engineering, specifically in CV and AI model fine-tuning (e.g., using frameworks like TensorFlow, PyTorch, or OpenCV).
• Proficiency in programming languages such as Python or C/C++, with hands-on experience in developing and optimizing CV algorithms.
• Proven track record in deploying CV systems on CPU and GPU servers (e.g., using CUDA, TensorRT, or ONNX for acceleration).
• Experience with CCTV video analytics (VA) applications, including processing real-time video streams for security and surveillance.
• Demonstrated expertise in end-to-end CCTV system integration, including RTSP stream handling, video encoding/decoding, and integrating CV/AI/VA as core engines.
• Solid understanding of client-server architectures, CCTV camera systems, internet networks, and protocols (e.g., HTTP, TCP/IP, ONVIF).
• Strong problem-solving skills and the ability to work independently or in a team.

• Hands-on experience with CCTV hardware integration, network troubleshooting, and optimizing for edge computing in surveillance environments.
• Familiarity with cloud platforms (e.g., AWS, Azure) for scalable AI deployments.
• Knowledge of related tools like FFmpeg for video processing, Docker/Kubernetes for containerization, or edge AI frameworks.
• Experience in agile development methodologies and version control (e.g., Git).
• Prior work in security or video analytics industries is a plus.
• Excellent communication skills for collaborating with non-technical stakeholders.

Enterprise Sales Professional

We are seeking a highly motivated sales professional to take on the role of Enterprise

Gain hands-on experience in AI/ML model research, development, and implementation. Work on real-world applications and contribute to the growth of a dynamic team.

This role is designed for students or fresh graduates eager to gain practical experience in AI system development and deployment. As an AI Engineer Intern, you will work on building, testing, and refining AI models that support real-world projects.

The ideal candidate will have a strong foundation in programming, particularly in Python, and a basic understanding of machine learning concepts. Experience with Google Colab, Jupyter Notebooks, and Git or version control tools is also desirable.

In this role, you will have opportunities to collaborate with experienced AI engineers and strategists, contributing to impactful initiatives while developing industry-ready skills.

• Assist in training, testing, and refining AI models for data processing, content generation, and automation tasks.
• Develop and maintain scripts for data collection, cleaning, and preparation.
• Support the integration of AI models into operational workflows and pipelines.
• Conduct basic research on AI tools and technologies to support ongoing initiatives.
• Collaborate with the team to improve model outputs and systems.
• Document technical work clearly for team reference and knowledge sharing.

• Current student or recent graduate in Computer Science, Data Science, Engineering, or a related field.
• Eagerness to learn, experiment, and take ownership of tasks.
• Good problem-solving skills and attention to detail.
• Ability to work independently while communicating progress clearly.

• Practical, hands-on experience building and testing AI systems in a real-world environment.
• Mentorship from experienced AI engineers and strategists within a high-performance team.
• Opportunities to work on projects that will be deployed internally or for clients.
• Exposure to structured problem-solving, clear system design, and AI implementation practices.

AI Software Development Specialist

We are seeking an experienced AI software development specialist to join our team. The ideal candidate will have a strong background in designing, building, and optimizing data pipelines and workflows to support AI and analytics initiatives.

Key Responsibilities:

• 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.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• At least 3 years of experience in AI software development and deployment.
• Proficiency in Python, SQL, and PySpark.
• Experience with Microsoft Azure services and AI Foundry.
• Strong understanding of data governance, security, and compliance.

What We Offer:

• A competitive salary and benefits package.
• The opportunity to work on cutting-edge AI projects.
• A dynamic and supportive team environment.

About Us:

We are a leading technology company that specializes in AI and analytics solutions. Our mission is to provide innovative and effective solutions to our clients.

Contact Us:

To apply for this position, please submit your resume and cover letter to us.

Job Description:

We are seeking a talented AI Engineer with a strong background in Computer Vision (CV) to design, develop, and deploy AI-powered video analytics (VA) solutions, particularly for CCTV applications. The ideal candidate will have expertise in fine-tuning AI models, deploying CV systems on CPU and GPU servers, and integrating end-to-end CCTV systems with RTSP streams. You will collaborate with cross-functional teams to build scalable, efficient solutions that process video feeds, perform real-time analytics, and ensure seamless integration with client-server architectures and network infrastructures. If you thrive in a fast-paced environment and have hands-on experience with CCTV hardware and networks, this role offers an exciting opportunity to drive innovation in surveillance technology.

Key Responsibilities:

• Develop and fine-tune AI and CV models for video analytics applications, including object detection, tracking, anomaly detection, and behavioural analysis in CCTV feeds.
• Deploy CV systems on CPU and GPU servers, optimizing for performance, scalability, and resource efficiency in production environments.
• Design and implement end-to-end CCTV system integrations, handling RTSP stream inputs, video decoding outputs, and embedding CV/AI/VA engines for real-time processing.
• Collaborate on client-server architectures, ensuring robust communication between CCTV cameras, servers, and networked devices.
• Optimize AI models for low-latency inference on edge devices or cloud servers, focusing on CCTV-specific use cases like security monitoring and video surveillance.
• Troubleshoot and debug issues related to video streams, network connectivity, and system performance.
• Conduct testing, validation, and deployment of AI solutions, ensuring compliance with industry standards for data privacy and security.
• Stay updated on emerging CV and AI technologies, contributing to R&D initiatives for next-gen video analytics.

Required Qualifications and Skills:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on Computer Vision (CV).
• 3+ years of professional experience in AI engineering, specifically in CV and AI model fine-tuning (e.g., using frameworks like TensorFlow, PyTorch, or OpenCV).
• Proficiency in programming languages such as Python or C/C++, with hands-on experience in developing and optimizing CV algorithms.
• Proven track record in deploying CV systems on CPU and GPU servers (e.g., using CUDA, TensorRT, or ONNX for acceleration).
• Experience with CCTV video analytics (VA) applications, including processing real-time video streams for security and surveillance.
• Demonstrated expertise in end-to-end CCTV system integration, including RTSP stream handling, video encoding/decoding, and integrating CV/AI/VA as core engines.
• Solid understanding of client-server architectures, CCTV camera systems, internet networks, and protocols (e.g., HTTP, TCP/IP, ONVIF).
• Strong problem-solving skills and the ability to work independently or in a team.

Preferred Skills and Advantages:

• Hands-on experience with CCTV hardware integration, network troubleshooting, and optimizing for edge computing in surveillance environments.
• Familiarity with cloud platforms (e.g., AWS, Azure) for scalable AI deployments.
• Knowledge of related tools like FFmpeg for video processing, Docker/Kubernetes for containerization, or edge AI frameworks.
• Experience in agile development methodologies and version control (e.g., Git).
• Prior work in security or video analytics industries is a plus.
• Excellent communication skills for collaborating with non-technical stakeholders.

Benefits:

· With flexible working hours, and protected under insurance scheme

· Gain hands-on experience in a leading AI company at the forefront of technological advancements.

· Potential for performance-based incentives and for company shares.

Application: To apply, please send your updated resume and any relevant portfolios to

AI Engineer Internship Opportunity

As a highly skilled AI engineer intern, you'll be responsible for working on cutting-edge projects and collaborating with experienced engineers to develop innovative solutions.

• Utilize LLM frameworks and host LLMs locally
• Explore vector databases and containerization techniques to enhance model performance
• Apply LLM/VLMs and quantization techniques to real-world problems, evaluating end-to-end RAG pipelines

• Current student or recent graduate in Computer Science, Artificial Intelligence, or related fields
• Proficiency in Python and JavaScript/TypeScript, with expertise in model finetuning and agentic workflows as a bonus

This internship offers the chance to develop skills in machine learning, artificial intelligence, and full-stack development while working in a dynamic team that's passionate about creating innovative solutions. We're excited to welcome a new member who shares our vision and is eager to contribute to our mission.