560 Algorithm Training jobs in Singapore

Our client, a leading name in the global aviation industry, is embarking on a transformative digital journey to redefine how data and artificial intelligence power the future of air travel. We are seeking an accomplished and visionary Artificial Intelligence & Data Vice President to lead and scale enterprise-wide AI, data science, and data engineering capabilities.

This is a rare opportunity to drive innovation at scale — developing advanced AI solutions, pioneering large language model (LLM) and generative AI initiatives, and shaping a data-driven culture across commercial, operational, and customer-facing functions.

As the Artificial Intelligence & Data Vice President, you will define and execute the enterprise AI and data strategy while leading a high-performing team of data scientists, AI engineers, and data professionals. You will serve as a thought leader across the organization, bridging business vision and cutting-edge AI technologies to deliver measurable impact.

• Develop and implement the organization's AI and data strategy in alignment with business goals.
• Lead, mentor, and expand a high-performing multidisciplinary AI and data team.
• Drive innovation in AI/ML, including large language models (LLMs), generative AI, and AI agent architectures.
• Oversee enterprise data architecture, governance, and infrastructure across hybrid cloud environments.
• Champion MLOps, LLMOps, and DataOps best practices for scalable, secure, and high-performing systems.
• Build partnerships with hyperscalers, technology vendors, and research collaborators to strengthen internal capabilities.
• Represent the company in AI and data forums, standards groups, and public-private collaborations.

Key Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related discipline (PhD preferred).
• Over 15 years of experience in enterprise AI/data systems, including more than 5 years in senior leadership or executive roles.
• Proven success in deploying large-scale AI systems involving LLMs, MLOps, and data platforms.
• Strong technical foundation in cloud and distributed systems (AWS, GCP, Azure).
• Excellent leadership, communication, and stakeholder management abilities.
• Demonstrated experience building and motivating high-performing technical teams.
• Prior exposure to aviation, travel tech, or complex enterprise environments will be an advantage.

This role offers the opportunity to lead one of the most forward-looking AI and data transformations in the aviation sector. You will shape strategy, influence technology direction, and collaborate with global partners — driving innovation that enhances customer experiences, operational efficiency, and business intelligence at scale.

If you are a visionary AI and data leader passionate about transforming industries through technology and innovation, we invite you to apply and be part of this transformative journey.

Interested candidates can forward their CVs in MS Word format to -

Reg No. R

Triton AI Pte Ltd

License no. 21C0661

Our client, a leading name in the global aviation industry, is embarking on a transformative digital journey to redefine how data and artificial intelligence power the future of air travel. We are seeking an accomplished and visionary Artificial Intelligence & Data Vice President to lead and scale enterprise-wide AI, data science, and data engineering capabilities.

This is a rare opportunity to drive innovation at scale — developing advanced AI solutions, pioneering large language model (LLM) and generative AI initiatives, and shaping a data-driven culture across commercial, operational, and customer-facing functions.

As the Artificial Intelligence & Data Vice President, you will define and execute the enterprise AI and data strategy while leading a high-performing team of data scientists, AI engineers, and data professionals. You will serve as a thought leader across the organization, bridging business vision and cutting-edge AI technologies to deliver measurable impact.

• Develop and implement the organization's AI and data strategy in alignment with business goals.
• Lead, mentor, and expand a high-performing multidisciplinary AI and data team.
• Drive innovation in AI/ML, including large language models (LLMs), generative AI, and AI agent architectures.
• Oversee enterprise data architecture, governance, and infrastructure across hybrid cloud environments.
• Champion MLOps, LLMOps, and DataOps best practices for scalable, secure, and high-performing systems.
• Build partnerships with hyperscalers, technology vendors, and research collaborators to strengthen internal capabilities.
• Represent the company in AI and data forums, standards groups, and public-private collaborations.

Key Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related discipline (PhD preferred).
• Over 15 years of experience in enterprise AI/data systems, including more than 5 years in senior leadership or executive roles.
• Proven success in deploying large-scale AI systems involving LLMs, MLOps, and data platforms.
• Strong technical foundation in cloud and distributed systems (AWS, GCP, Azure).
• Excellent leadership, communication, and stakeholder management abilities.
• Demonstrated experience building and motivating high-performing technical teams.
• Prior exposure to aviation, travel tech, or complex enterprise environments will be an advantage.

This role offers the opportunity to lead one of the most forward-looking AI and data transformations in the aviation sector. You will shape strategy, influence technology direction, and collaborate with global partners — driving innovation that enhances customer experiences, operational efficiency, and business intelligence at scale.

If you are a visionary AI and data leader passionate about transforming industries through technology and innovation, we invite you to apply and be part of this transformative journey.

Interested candidates can forward their CVs in MS Word format to -

Reg No. R

Triton AI Pte Ltd

License no. 21C0661

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

Job Summary

We are seeking a highly skilled Artificial Intelligence Senior Engineer to join our team. The ideal candidate will work on AI programming by leveraging open-source solutions and proprietary code. The candidate will be responsible for developing, optimising, and deploying AI models, integrating them into scalable applications, and ensuring their performance meets business objectives.

Key Responsibilities

• Develop and optimise AI solution by leveraging open-source and proprietary code.
• Build scalable AI solutions using cloud services, data pipelines, and databases.
• Implement Natural Language Processing (NLP) and Large Language Models (LLMs) and other AI frameworks.
• Design, develop, and deploy RESTful APIs for AI applications.
• Apply Retrieval Augmented Generation (RAG) techniques to enhance AI responses.
• Implement prompt engineering techniques such as instruction design, template-based approaches, and fine-tuning strategies.
• Ensure AI models comply with best practices, including Continuous Integration and Continuous Delivery/Deployment (CI/CD) processes and test-driven development.
• Conduct rigorous testing and evaluation of AI models, ensuring accuracy and efficiency.
• Stay up-to-date with the latest Artificial Intelligence and Machine Learning technologies and industry trends.
• Work closely with stakeholders to translate business needs into AI-driven solutions.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 2+ years of experience in AI engineering.
• Proficiency in Python; additional experience in , TypeScript, C#, or Java is a plus.
• Strong knowledge of machine learning concepts and deep learning including neural networks, optimization algorithms, and evaluation metrics.
• Knowledge of SQL and data manipulation for AI applications.
• Knowledge of Langchain for application development
• Strong understanding of algorithms, data structures, and their applications in AI/ML.
• Familiarity with CI/CD processes, test-driven development, and scalable AI deployment.
• Strong analytical and problem-solving skills, capable of managing multiple projects.
• Ability to communicate complex technical concepts effectively to non-technical stakeholders.
• Ability to work effectively in a collaborative, team-oriented environment.
• Hands-on experience with machine learning frameworks, such as TensorFlow and PyTorch, is a plus
• Experience in building AI solutions on cloud platforms (AWS, Azure, GCP) is a plus
• Ability to communicate with Chinese-speaking clients is a plus

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.

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.

Responsibilities:

We are seeking a dynamic and knowledgeable Instructor/Trainer to lead the AI Prototype Workshops in Singapore and Brunei, an immersive program focused on hands-on learning in Generative AI and rapid prototyping. This role involves both teaching and mentoring participants as they develop and showcase real-world AI-driven prototypes.

• · Deliver engaging and practical sessions on Generative AI and Large Language Models (LLMs), covering topics such as:
• · Prompt engineering techniques
• · Integration of AI APIs (e.g., Elice ML API, OpenAI, Gemini, Nanobana)
• · Comparison of local vs. cloud-based LLMs, fine-tuning, and Retrieval-Augmented Generation (RAG)
• · Advanced chatbot development and deployment
• · Prototyping strategies, MVP design, and user validation
• · Guide participants through hands-on exercises and prototype development.
• · Provide constructive feedback during key milestones: Team Topic Sharing, Mid-term Presentation, Review Sessions, and Demo Day.
• · Foster a collaborative, inclusive, and supportive learning environment.

Skills/Requirement:

• · Demonstrated expertise in Generative AI, LLMs, and practical AI applications.
• · Hands-on experience with fine-tuning LLMs, implementing RAG, and deploying chatbots.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.

Interested candidates, who wish to apply for the above position, please send in your resume

We regret to inform that only shortlisted candidates will be contacted

PersolKelly Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R (Ajay Sharma)

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.

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Job Summary:

We are building a team of AI Engineers to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities:

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

Requirements:

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.
• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship.