194 AI Expertise jobs in Singapore

Job Description:

• Develop and implement robust security frameworks to safeguard against emerging threats for a leading organization.
• Collaborate with cross-functional teams to design and deploy cutting-edge AI solutions that are principled, secure-by-design, and compliant with enterprise policies and regulatory mandates.

Key Responsibilities:

1. Embed security into the core of our AI systems to ensure they are not only powerful but also principled.
2. Translate governance requirements and regulatory obligations into concrete technical specifications and enforceable controls for cloud and on-premise environments.
3. Mitigate advanced risks by conducting specialized AI risk assessments to identify and address threats like model misuse, data leakage, adversarial attacks, and LLM prompt vulnerabilities.
4. Champion privacy by integrating advanced privacy-preserving mechanisms directly into AI workflows.
5. Curate best-in-class tools to enhance our capabilities in AI security and governance.

Requirements:

• 5+ years of experience in cybersecurity or data governance, with at least 3 years focused on AI or cloud-based ML systems.
• Proven expertise in implementing robust data protection on AI platforms.
• Exposure to data privacy controls (encryption, tokenization) and security frameworks like Zero Trust or OWASP for ML is a plus.

Benefits:

• Opportunity to build frameworks that enable innovation while safeguarding against emerging threats.
• Heavy investment in AI and Data.
• Aggressive expansion plan.

What We Offer:

This is an excellent opportunity to grow your career and make a meaningful impact in the field of AI security.

This role is part of pioneering algorithms and chips for artificial intelligence and image processing.

The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities.

We are developing deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.

Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.

We execute deep network compression tailored for ASIC platforms.

Staying up-to-date with the latest advancements in deep learning and computer vision literature, we proactively propose novel concepts.

Our contributions include patent and research paper publications.

To be considered for this position, you must have a Master Degree/ PhD in Computer Science, electrical engineering, or a related field, along with 3+ years of experience in computer vision / machine learning development.

We are seeking a talented and innovative individual to join our team as a Deep Learning Algorithm Specialist. In this role, you will have the opportunity to design and develop cutting-edge AI models that power TikTok's search engine.

You will be working on building a full-stack search engine system based on advanced AI and machine learning methods to provide a world-leading search experience. We value self-direction, intellectual curiosity, openness, and problem-solving, and we're looking for someone who shares these qualities.

• Final year or recent graduate with a background in Computer Science or a related technical field.
• Proficient coding skills and strong algorithmic and data structure knowledge using C++/Python/Java.
• Solid knowledge of machine learning and practical experience in applying it.

• Opportunity to work on real-world projects and make meaningful contributions to the company.
• Collaborative and dynamic work environment.
• Competitive compensation and benefits package.
• Access to cutting-edge technology and tools.

TikTok is a global community where creativity and joy come together. Our mission is to inspire people to express themselves authentically and connect with others. We're passionate about fostering an inclusive and diverse workplace culture that reflects the communities we serve.

Cynapse is a pioneering AI software company that specializes in developing cutting-edge Video Intelligence Solutions. Our innovative technology, powered by Generative AI, empowers organizations to enhance safety, operational efficiency, and security in complex environments.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. As a leading provider of video intelligence solutions worldwide, Cynapse serves clients globally and redefines what's possible with video analytics.

• This role offers an exciting opportunity to gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.

• Work closely with engineers to design, build, and refine deep learning models for various Computer Vision tasks.
• Contribute to the optimization of models and pipelines by conducting experiments, analyzing results, and helping to improve model performance.
• Gain exposure to modern tools like Docker, CI/CD, and cloud platforms to support scalable, reliable model deployment.

• Currently pursuing or completed a Diploma/ Bachelor/ Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
• Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
• Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.

• Familiarity with building and optimizing ML pipelines, including data preprocessing, model training, testing, and deployment.
• Experience in software engineering practices like version control (Git), CI/CD pipelines, or Docker for containerization.
• Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
• Knowledge of computer vision concepts and libraries (e.g., OpenCV).

Duration: Minimum 4 months internship duration, negotiable based on the candidate's schedule.

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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation.

Key Responsibilities:

• Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables.
• Undertake the following specific responsibilities in the project:

1. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets.
2. Design and implement software modules to integrate the models into a working system prototype.
3. Perform data annotation.
4. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency.
5. Prepare project documentation, technical reports, and academic publications.
6. Collaborate with industry partners and contribute to technology transfer efforts.

Job Requirements:

• Possess strong technical knowledge and hands-on experience in:

1. Deep learning frameworks (e.g., PyTorch, TensorFlow)
2. Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN)
3. Computer vision techniques and algorithms
4. Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models

• Hold at least a Bachelor's degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master's or PhD degree in relevant areas will be advantageous.
• Familiarity with the following areas is advantageous:

1. Participation in Kaggle competitions, showcasing practical problem-solving and model development skills
2. Model deployment (e.g., ONNX, TensorRT)
3. Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano)
4. Real-time processing and GPU acceleration
5. Experience working on industry R&D project

Key Competencies:

• Able to build and maintain strong working relationships with team members, stakeholders, and external partners
• Self-motivated and committed to continuous learning and improvement
• Proficient in technical writing & presentation, research reporting, and academic publication
• Possess strong analytical, problem-solving, and critical thinking skills
• Demonstrate initiative and ownership in carrying out tasks independently

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 looking for an AI Engineering Intern (Computer Vision & Deep Learning) to join our Computer Vision Model Engineering Team. This is a unique opportunity to contribute to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and ML pipelines.

You'll work alongside a dynamic team, gaining hands-on experience and contributing to real-world AI projects that optimize the machine learning lifecycle.

As an AI Engineering Intern, you will:

• Gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
• Work closely with engineers to design, build, and refine deep learning models for various Computer Vision tasks, such as image classification, segmentation, object detection, action recognition, and more.
• Work with ML pipelines that support model deployment, assisting with tasks like model integration, data versioning , automated training, and testing.
• Contribute to the optimization of models and pipelines by conducting experiments, analyzing
• results, and helping to improve model performance.
• Gain exposure to modern tools like Docker, CI/CD , and cloud platforms to support scalable, reliable model deployment.
• Dive into cutting-edge research and gain insights into model architecture optimization, scalability, and challenges related to real-time application in Computer Vision.

Requirements:

• Currently pursuing or completed a Diploma/ Bachelor/ Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
• Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
• Familiarity with at least one deep learning framework such as TensorFlow, PyTorch , or similar.
• Strong analytical thinking and problem-solving skills , with an emphasis on improving software pipelines .

Preferred (Bonus Skills):

• Familiarity with building and optimizing ML pipelines , including data preprocessing, model training, testing , and deployment .
• Experience in software engineering practices like version control (Git), CI/CD pipelines , or Docker for containerization.
• Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
• Knowledge of computer vision concepts and libraries (e.g., OpenCV).
• Interest in exploring advanced topics like Generative AI, multi-modal learning , or real-time video analytics .

Duration:

• Internship duration: Minimum 4 months (negotiable based on the candidate's schedule).
• Availability: At least 4 days a week , with a preference for full-time commitment.
• Flexible start and end dates to accommodate exams or personal schedules.

Note : Due to the nature of the role, candidates must be based in Singapore or have relevant experience studying/working in Singapore.