590 AI Implementation jobs in Singapore

We are seeking a highly skilled Data and AI Engineer to join our team. As a key member of our organization, you will play a crucial role in assisting senior engineers in training, fine-tuning, and deploying AI models such as chatbots and predictive analytics.

Clean, preprocess, and analyze datasets to support machine learning workflows. Explore and apply generative AI tools for tasks like synthetic data generation and automated documentation.

• Proficiency in programming languages such as Python, Java, JavaScript, or Golang.
• Experience with cloud-native systems and agile methodologies.
• Strong analytical and problem-solving skills.

This is a 12-month contract opportunity that offers the chance to work on exciting projects and develop your skills in a dynamic environment.

Monitor product performance metrics and present progress and plans to stakeholders across all seniority levels. Collaborate with UX, engineering, and QA teams to deliver product features aligned with the roadmap.

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

We are seeking an experienced AI Sales Manager to lead our sales efforts and drive business growth.

Onedayprint | Singapore | Internship | Immediate/Upcoming Intake

Onedayprint is a long-running and proudly Singaporean print-on-demand business, specialising in high-speed sticker printing. With over a decade of operations, a strong online presence, and thousands of happy customers, we're now exploring how AI can transform internal efficiency, automate customer queries, and improve cost estimation tools.

We're seeking a curious and technically-minded intern to help us build our first internal AI chatbot assistant. This isn't just a dummy student project — it's a production-use system that we'll be using day-to-day.

As our AI Intern, you'll be tasked with creating a local AI chatbot system capable of:

• Understanding and parsing internal files (e.g. PDF guides, MP4 training videos, Markdown SOPs)
• Extracting useful content and surfacing them in a conversational chatbot format
• Exploring tools like AnythingLLM, OpenAI GPT-4, Google Gemini, and Manus
• Building prompts and workflows to generate helpful responses to staff and customer queries
• Working with HTML tools like our internal pricing calculator, and incorporating them into the chatbot system
• Developing a clean, internal-facing chatbot interface that can run on our local PCs

This is a high-autonomy internship — you'll be the primary person leading this AI system build, and given the freedom to experiment, fail, test, and rebuild. You'll be treated like a product owner, not an assistant.

We welcome interns who:

• Are proactive, logical, and not afraid to Google & test things
• Have strong curiosity in AI, machine learning, automation, or programming
• Can work independently and manage their own learning
• Have experience (even hobby-level) in Python, JS, web tools, or AI APIs (bonus)

We don't expect mastery — just drive and initiative.

• Build an AI system from scratch based on a real business use case
• Explore and compare different open-source and commercial LLM tools
• Be part of a product-focused SME team

• Internship Type: Full-time
• Location: Near Tampines East MRT
• Pay: SGD 800–1,000/month
• Duration: 3 months
• Equipment and workstations provided

Please send:

• Your resume or portfolio
• Any school or side project links (GitHub, Notion, Google Drive all OK)
• A short paragraph on why this internship interests you

Email to:

Subject: AI Intern Application – (Your Name)

• 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.

Our organization is seeking an experienced Artificial Intelligence (AI) Model Development Specialist to lead the design, development, and deployment of machine learning models and algorithms.