160 Artificial Intelligence jobs in Singapore

Skywork AI Singapore welcomes enthusiastic and forward-thinking research scientists to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore's R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us to the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

• Conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents.
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

• Relevant work experience in a University or industrial settings, with a primary focus on AI exploration.
• Experience in leading projects and teams
• Hold an esteemed Ph.D. degree in computer science, statistics, engineering, applied mathematics, data science, or related fields.
• Being acknowledged as a first-author contributor to prestigious peer-reviewed conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and top-tiered journals (e.g., TPAMI, JMLR, AIJ), or have authored publications in renowned CNS (Cell, Nature and Science).
• Proficiency in any prominent differentiable programming frameworks, such as PyTorch, TensorFlow, and JAX, is highly desirable.
• Showcase a track record of leadership in spearheading substantial research projects.
• Attain esteemed recognition within the academic and professional community.
• Proven track record of delivering high-impact research outcomes.
• Preferrable honored recipient of best paper awards or equivalent in top-tiered conferences.
• Preferrable celebrated victory in international academic competitions.

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to - to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

Description

We're seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.

Key Responsibilities:

• Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges.
• Design scalable data pipelines and preprocess datasets for training and inference.
• Collaborate with cross-functional teams to integrate AI models into existing systems.
• Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
• Conduct error analysis and improve models to address bias, fairness, and explainability.
• Document technical processes and results, ensuring knowledge sharing within teams.

What We're Looking For:

Technical Skills:

• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics.
• Expertise in at least one domain:
• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• Generative AI (e.g., GPT, Stable Diffusion)
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
• Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization).

Soft Skills:

• Ability to explain complex AI concepts to non-technical stakeholders.
• Strong problem-solving and critical-thinking skills.
• Passion for continuous learning and staying updated with the latest AI trends.

Requirements

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations).
• Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

Benefits

• Exposure to international markets and the opportunity to work with a diverse team
• Flexible remote working arrangements
• Innovative environment

At Substance, we're all about action, not just talk. If your profile aligns with what we need, you'll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we'll be ready to make it happen.

Pte. Ltd. | EA License No: 24C2398

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 seeking a talented and highly motivated Artificial Intelligence (Computer Vision - Algorithms) Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As an Artificial Intelligence (Computer Vision - Algorithms) Intern, you will:

• Implement Computer Vision pipelines using OpenCV and Deep Learning (CV) models
• Work with our AI Full-time engineers to define business challenges that require the use of various ML/DNN & Computer Vision Algorithm techniques
• Improve existing codebase by adding Computer Vision features and debugging errors

Minimum Requirements

• Completed at least 1 year of studies as part of a Diploma, Bachelor or Master in one of the following subjects: IT | Engineering | Computer Science | Information Systems | Statistics | Mathematics
• At least 3 months experience in Python programming
• Basic understanding of Computer Vision techniques. (I.e. Experience with OpenCV)
• Completed at least 1 Uni/Online hands-on course in Machine Learning.
• Experience with one or more ML tools such as Tensorflow, PyTorch etc.
• Good to have : Docker Experience | C++

Soft Skills / Commitment:

• Available for at least a 6-month internship
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• Possess a positive learning attitude
• Willingness to travel to customer site to support project needs
• Ability to communicate and collaborate with other team members / external teams
• Deliver project requirements within specified timelines

Why join Cynapse?

• Unique opportunity to work with a talented global team on cutting-edge technologies
• Exciting work environment with flexible hours

Note : Due to the nature of the role, the position is considered for candidates who are only based in Singapore or have experience studying/working in Singapore.

Job Description:

• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.

Requirements:

• Minimum total three years' work experience as AI Engineer.

The client is a world-leading semiconductor fabrication provider with over 20 years of presence in Singapore, is seeking a Application Engineer to join the Automation & System Department's diverse team.

Role: Application Engineer (Artificial Intelligence)

Employment Type: 12-month Contract (Renewable)

Location: East Singapore (onsite)

Working Pattern: Regular Office Hours

Key Responsibilities

Model Operations & Maintenance:

• Monitor and maintain existing AI powered applications in production environment
• To track model performance metrics and detect performance deviation
• Execute model retraining procedures using established workflows and protocols
• Document model performance changes and maintenance activities

Equipment Integration & Model Enhancement:

• Deploy and fan out newly introduced AI powered application across Fab
• Coordinate with base models and collect equipment-specific data for model fine-tuning
• Implement model updates and enhancements using pre-configured pipelines
• Validate model performance after updates and equipment integrations

Quality Assurance & Issue Resolution:

• Identify image quality issues, data drift, and model performance anomalies
• Collaborate with users to resolve application/hardware related issues affecting model accuracy
• Perform basic troubleshooting of AI pipeline components
• Escalate complex technical issues and work with vendors for resolution
• Develop and implement improvement plan to enhance the accuracy and response quality.

Data Management & Documentation:

• Work with IT department to maintain clean, organized datasets for model training and validation
• Create and update technical documentation for maintenance procedures
• Generate regular reports on model performance and system health
• Ensure compliance with data governance and quality standards
• Continuously monitor, analyze, and improve existing chatbot systems to maintain efficiency and high performance

Requirements:

• Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field
• At least 2 years of experience with Machine Learning models, Large Language Models (LLM) concepts and prompt engineering for solution implementation.
• Experience in manufacturing or semiconductor industry.

Technical Skills:

• Proficiency in Python, C++, JavaScript and R programming
• Proficiency with data visualization tools (Power BI, Tableau, matplotlib, seaborn, or similar) and web application development
• Familiarity with MLOps platforms (MLflow, Kubeflow, or similar)
• Familiar with data manipulation libraries (pandas, numpy)
• Experience with SQL databases (e.g. PostgreSQL)
• Experience with cloud platforms (AWS, Azure, or Google Cloud, GitHub)
  Basic knowledge of containerization (Docker) and version control (Git)

Interested candidates, please send your resume to - with the subject of " AI Engineer ". Thank you.

MINDEF

Permanent/Contract

Closing on 21 Sep 2025

What the role is

You support the Branch Head in spearheading Artificial Intelligence (AI) initiatives across Operations Support Information Technology (OSIT) systems to facilitate productivity growth across MINDEF/SAF users.

What you will be working on

• Benchmark AI developments with Whole-of-Government (WoG) agencies to ensure alignment with the National AI Strategy and identifying best practices for implementation
• Work closely with various business domain owners to understand business requirements
• Conduct trials and proof-of-concept of use cases
• Develop plans and allocate resources to scale up AI integration with OSIT networks, ensuring alignment with organisational goals and the national strategy
  Challenge(s)
• Keeping pace with the ever-changing digital landscape, particularly in the field of AI and related advancements such as cloud computing and Internet of Things (IoT)
• Staying ahead of emerging trends, assessing their relevance to MINDEF/SAF's needs, and swiftly incorporate these technologies into strategies and initiatives
• Collaborating with diverse stakeholders, managing competing priorities and regulatory requirements

What we are looking for

• Education in STEM (Science, Technology, Engineering and Mathematics) and/or related professional qualifications
• At least 5 years of experience working in a technical or engineering setting is preferred
• Strong communication and leadership skills
• Good knowledge of AI and related advancements such as cloud computing and Internet of Things (IoT)
  Appointment will be commensurate with your experience.
  Only shortlisted candidates will be notified.

About MINDEF

The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor.
The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF's mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.

About your application process

This job is closing on 21 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MINDEF or the wider Public Service.

AI Engineer

Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients.

AI Engineer

AI Engineer

Artificial Intelligence

BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent

Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.

• Design, develop, and implement AI/ML algorithms and models to solve business challenges.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
• Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
• Develop data pipelines and preprocessing methods for model training and deployment.
• Monitor, evaluate, and improve the performance of AI models and systems.
• Conduct experiments to validate hypotheses and enhance AI system capabilities.
• Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
• Create technical documentation for AI models and workflows.

• Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
• Strong understanding of data structures, algorithms, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
• Knowledge of MLOps tools and practices for model deployment and monitoring.
• Ability to work with large datasets and build scalable AI solutions.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and collaboration skills.
• Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
• Exposure to big data technologies (e.g., Hadoop, Spark).
• Knowledge of model interpretability and explainability methods.

Singapore

Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East. On-site benefits apply.

Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad

Visit URL and Apply directly online by filling our form.

The student, as part of the AI Engineering team at Center of Competence Analytics will work to support Digital Customer Engagement project and AI Platform Evaluation including NLP, LLM, RAG and Software Engineering.

Job Description

In your new role you will:

• Work as a intern with knowledge in Traditional AIML, Deep Learning, NLP, LLM RAG, Chatbot, LLM Inference and other AI areas
• Utilizing statistical analysis, machine learning, and data visualization techniques to extract insights from large datasets
• Transforming prototypes into production solutions with best practices for both development and deployment
• Developing and maintaining software applications and systems that incorporate AI and machine learning components
• Focus on AI Solution scalability, efficiency, and real-time processing, while maintaining the integrity of the underlying data science principles

Internship Learning Outcomes :

• Industry work experience, access to different points of view and widened
• Overview of semiconductor industry through orientation of Infineon and self exploration
• Exposure to GenAI, CV, NLP and to actual industry applications
• Gain understanding of Analytics platforms/tools and ability to write production ready analytic scripts

Your Profile

You are best equipped for this task if you have:

• On track to attaining with Bachelors or Masters degree in computer engineering, data science, Artificial Intelligence and Machine Learning or equivalent
• Strong understanding, conceptualizing and hands-on experience in Software development, Deep Learning, Computer Vision and GenAI/RAG
• Experience in software development cycles and excellent programming skill with scripting languages & frameworks e.g. Python, TensorFlow, PyTorch, Sklearn.
  Familiar with micro services e.g. OpenShift and Web Application development - Experience in RDBMS (i.e. Oracle/ SQL) & in NoSQL Databases such as ELK are optional

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.