543 Computer Vision jobs in Singapore

What you'll be doing

• Designing and developing advanced computer vision algorithms for object detection, image segmentation, and other related tasks
• Applying state-of-the-art machine learning techniques to solve complex business problems
• Building and optimizing deep learning models for various applications
• Collaborating with cross-functional teams to integrate computer vision and machine learning components into larger software systems
• Continuously researching and exploring new methods and technologies to enhance our capabilities
• Troubleshooting and optimising the performance of existing models and algorithms
• Documenting your work and providing technical support to other team members

What we're looking for

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
• Proven experience in developing computer vision and machine learning solutions, with a strong understanding of relevant algorithms and techniques
• Proficiency in programming languages such as Python, C++, or Java, and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
• Strong problem-solving and analytical skills, with the ability to think critically and creatively
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• A passion for staying up-to-date with the latest advancements in computer vision and machine learning

Interested candidates who wish to apply for the advertised position, please email us an updated copy of your resume.

Email Address:

EA License No.: 13C6305

Reg No: R HIEW CHAI SYIN

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Research Associate (Computer Vision and Artificial Intelligence) page is loaded# Research Associate (Computer Vision and Artificial Intelligence)locations:
NTU Main Campus, Singaporetime type:
Full timeposted on:
Posted Todayjob requisition id:
R We are looking for a Research Associate to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for object and defect detection.**Key Responsibilities:*** Development of artificial intelligence (AI) technologies to perform object and defect detection.* System integration of the developed algorithms.* Overseeing project budget and coordinating the procurement and maintenance of equipment.* Providing mentorship and academic guidance to students.* Preparing and compiling reports pertaining to the project.**Job Requirements:*** Master’s degree in Computer Science, Electrical and Electronic Engineering, or related field.* Min 1 year of relevant experience in computer vision, artificial intelligence, etc.* Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow.* Knowledge in imaging and computing device and equipment.* Strong communication, organizational, and time management skills, with the ability to work independently and in a team.* Prior publication experience is preferred.We regret to inform that only shortlisted candidates will be notified.Hiring Institution: NTUNTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.For more information, visit
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Artificial Intelligence Vision Expert

We seek a highly skilled Artificial Intelligence Vision Expert to join our team. The ideal candidate will possess in-depth knowledge of deep learning techniques, computer vision algorithms, and software development.

The successful candidate will be responsible for developing, training, and optimizing deep learning models for object detection, classification, and segmentation using real-world datasets.

They will also design and implement software modules to integrate the models into a working system prototype.

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

We seek a skilled C++ Computer Vision Engineer to develop and optimize real-time low latency video camera software for broadcasting applications. The role focuses on video capture, processing, and integration of third-party effects, with an emphasis on performance and reliability in resource-constrained environments.

Key Responsibilities

• Design and implement real-time video processing pipelines for broadcasting applications.
• Develop and maintain camera video capture modules using frameworks like DirectShow, Media Foundation, or OpenCV.
• Integrate internal or external AI video effects into the software pipeline.
• Build virtual camera drivers to enhance video output for streaming platforms.
• Research and evaluate the performance of video processing algorithms.

Required Skills

• Proficiency in modern C++ (C++11/14/17) with experience in multithreaded programming.
• Hands-on experience with any multimedia frameworks (DirectShow, Media Foundation, GStreamer, FFmpeg)
• Familiarity with OpenCV for computer vision tasks.
• Knowledge of camera driver development and low-level video capture pipelines.
• Experience deploying software on Windows environment.

Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Essential Duties and Responsibilities

• Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
• Design and architect computer vision systems to meet specific requirements and objectives.
• Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models.
• Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
• Evaluate the performance of computer vision models using appropriate metrics and benchmarks.
• Integrate computer vision algorithms and models into larger software systems or products.
• Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems.
• Document design specifications, technical requirements, and implementation details for computer vision solutions.
• Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
• Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems

Qualifications

• Bachelor's or master's degree in computer science, Electrical Engineering, or a related field.
• Proven experience in developing and implementing computer vision algorithms and models.
• Proficiency in programming languages such as Python or C++.
• Strong understanding of image and video processing techniques and methodologies.
• Familiarity with computer vision libraries such as OpenCV.
• Experience with data collection, annotation, and preparation for model training.
• Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
• Experience integrating computer vision solutions into software systems or products.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities

Education & Experience

• Has a Bachelor's or Master's degree in computer science, Data Engineering, AI/ML, or a related field from an accredited institution

Travel Requirements

• Role based in Singapore office and may require up to 1 travel trip per year.

• Shortlisted candidates will be contacted for assessment in due course

Are you game?

Required Skills and Qualifications:

• 1+ years of experience in computer vision or related fields.
• Expertise in NVIDIA DeepStream SDK for real-time video analytics and AI-based applications.
• Hands-on experience with Apache Kafka for building real-time data pipelines.
• Proficiency in OpenCV, GStreamer for image and video processing tasks.
• Strong experience with C++, Python, and libraries/frameworks such asTensorFlow, PyTorch, or TensorRT for deploying AI models.
• Understanding of video compression standards (H.264, H.265) and streaming protocols (RTSP, RTP, etc.).
• Familiarity with Docker and Kubernetes for deploying scalable microservices in cloud environments.
• Experience with Edge AI hardware like NVIDIA Jetson or similar platforms.
• Solid understanding of parallel computing and GPU acceleration techniques (CUDA).
• Strong problem-solving skills and ability to work in a fast-paced, collaborativeenvironment.

Preferred Skills:

• Experience with YOLO, Faster R-CNN, or other object detection models.
• Familiarity with message brokers and pub/sub systems like RabbitMQ or Google Pub/Sub.
• Exposure to cloud services such as AWS, GCP, or Azure, particularly for real-time video analytics applications.
• Familiarity with MLOps practices for model deployment and management.

Key Responsibilities:

• Develop and optimize real-time computer vision applications for video analytics and edge AI solutions.
• Design and implement data pipelines to handle high-volume, real-time video streams.
• Build scalable, high-performance video processing pipelines with integration into cloud services or on-prem infrastructure.
• Collaborate with machine learning engineers to deploy deep learning models for object detection, segmentation, tracking, and classification on live video feeds.
• Ensure system performance, scalability, and robustness through optimization and efficient resource utilization.
• Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
• Stay updated on the latest advancements in computer vision, machine learning, and deep learning technologies, incorporating them into the project roadmap.

We regret to inform that only shortlisted candidates will be notified.

This is in partnership with Employment and Employability Institute Pte Ltd ("e2i"). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i's PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOLKELLY Singapore Pte Ltd
• RCB No E
• EA License No. 01C4394
• Reg. R , Lucas Tan

Position Overview

We are looking for a highly skilled and motivated Computer Vision Engineer to join our team full-time. This role is ideal for someone with a strong background in AI, particularly in the area of computer vision. The successful candidate will lead projects to develop and implement computer vision solutions tailored to the semiconductor industry.

Key Responsibilities

• Design, develop, and optimize computer vision algorithms for real-world applications.

• Collaborate with engineering teams to integrate computer vision technologies into our product offerings.

• Spearhead research initiatives to explore new methodologies and technologies in computer vision and AI.

• Document, present, and communicate findings and technical solutions effectively.

• Mentor junior team members and contribute to team knowledge sharing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Strong expertise in computer vision and machine learning.

• Proficient in Python, with extensive experience in PyTorch, TensorFlow, or similar frameworks.

• Solid understanding of software engineering practices, including Docker, Git, APIs, and message queues.

• Demonstrated ability to solve complex problems and drive projects to completion.

• Excellent communication skills, with the ability to work effectively in a team and lead projects.

• A strong portfolio of relevant projects or research work in computer vision and AI.

What we Offer

• A leading role in cutting-edge AI projects within the semiconductor industry.

• The opportunity to work with an learn from experts in the field of AI and data science.

• A dynamic, innovative, and supportive work environment.

• Competitive salary and benefits package.

• Career growth opportunities in a fast-paces technology company.

Rapsodo is a sports technology and analytics company with headquarters in Singapore, and offices in the USA, Turkey and Japan. Using Computer Vision and Machine Learning, Rapsodo develops sports analytics products that are data-driven and portable to empower athletes at all skill levels to analyse and improve their performance.

From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

Powered by Athletes who get it, and Engineers who can do it.

Join Team Rapsodo in defying limits and unlocking limitless potential, one data point and one heart-felt success story at a time.

The Role:

Our algorithm team designs, develops and implements state of the art computer vision solutions to address needs of complex Rapsodo products. As a Computer Vision Engineer, you will be part of a world-class, skilled engineering team developing state of the art measurement solutions which help athletes reach their full potential. This role requires a highly versatile skill set and you will have opportunities to contribute in all relevant domains. Your responsibilities will include development of new products and enhancing existing products.

Requirements

Skills & Requirements:

• Masters or PhD in Computer Science or related fields with specialization in Computer Vision, and Image Processing
• 3- 5 years of relevant working experience
• Strong knowledge and hands-on experience in 3D Vision, Camera Calibration, Image Classification, Segmentation and Feature Extraction
• Strong knowledge in Linear Algebra, Numerical Optimization, Probability and Statistics
• Hands-on experience with OpenCV
• Excellent C/C++ programming skills with some Python experience
• Experience with software architecture and/or API design, complemented by robust integration skills

• Design and implement vision algorithms for automated inspection, feature detection, and pattern recognition in semiconductor backend processes.
• Develop and deploy deep learning-based models to enable high-speed, high-accuracy vision systems.
• Integrate vision software with robotics, automation platforms, and precision equipment such as die bonders and wire bonders.
• Apply advanced image processing techniques for tasks including object tracking, defect classification, and yield improvement.
• Collaborate with hardware, software, and process engineering teams to ensure seamless real-time integration across inspection systems.
• Analyze performance data, validate models, and fine-tune algorithms to meet production standards and operational requirements.
• Optimize system performance in terms of detection accuracy, processing speed, and operational reliability.
• Contribute to the continuous enhancement of vision frameworks to support scalability, robustness, and deployment readiness.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Solid experience in computer vision, image analysis, and applied machine learning.
• Proficiency in Python and C++, along with libraries such as OpenCV and frameworks like TensorFlow or PyTorch.
• Familiarity with building and optimizing vision algorithms for high-throughput or precision manufacturing applications.

• Experience with deep learning architectures such as CNNs, GANs, or Transformer-based models applied to vision tasks.
• Exposure to semiconductor automation systems or optical inspection tools.
• Knowledge of real-time processing techniques and hardware acceleration technologies (e.g., CUDA, FPGA).
• Strong problem-solving mindset and the ability to communicate technical concepts clearly across teams.