691 Ibm 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.

Get AI-powered advice on this job and more exclusive features.

We are a deep-tech AI startup backed by Accelerating Asia and Ignition AI Accelerator , on a mission to revolutionise enterprise AI through a new generation of symbolic, self-supervising AI systems .

We are seeking an AI Engineer to join our core research and development team in Singapore. You will play a central role in building the next generation of symbolic AI systems — developing and integrating first-principles reasoning, knowledge graphs, and self-supervised symbolic learning. Your work will directly contribute to advancing the frontiers of enterprise AI for high-impact domains such as finance, procurement, scientific discovery, and strategic planning.

• Design and implement core modules that enable symbolic reasoning and graph-based inference on structured and semi-structured data.
• Develop and optimize algorithms for graph construction , and reasoning over large-scale knowledge graphs .
• Contribute to internal evaluation frameworks for model training and validation.
• Contribute to the deployment of models on various cloud platforms, and in-house infrastructure.
• Participate in cross‑functional research involving symbolic AI, causal inference, and interpretable graph neural networks.

• Master’s degree (or higher) in Artificial Intelligence, Computer Science, Applied Mathematics, or related STEM field.
• Strong understanding of machine learning fundamentals, with an interest in symbolic or hybrid (symbolic + neural) AI approaches .
• Experience with graph-based models , graph neural networks (GNNs) , or graph analytics frameworks (e.g., Neo4j, NetworkX, PyTorch Geometric, DGL, cuGraph).
• Proficiency in Python and familiarity with key ML and graph libraries (PyTorch, TensorFlow, scikit‑learn, etc.).
• Strong background in data structures , logic , or algorithmic reasoning .
• Ability to think abstractly about systems that model relationships, dependencies, and causality.
• Excellent problem‑solving and collaboration skills, with a deep curiosity for interpretable, self‑improving AI systems .
• Must be a Singaporean citizen or permanent resident .

• Experience with knowledge graphs or ontological data representation .
• Familiarity with symbolic logic , constraint satisfaction , or causal modelling .
• Exposure to enterprise automation , data pipelines , or simulation systems .
• Background in reinforcement learning , energy‑based models , or neurosymbolic AI is a plus.
• Strong mathematical foundation in graph theory , probability , or information theory .

• Be part of the core founding team shaping a new AI paradigm.
• Work on frontier research problems that tackle some of the hardest challenges in artificial intelligence.
• Build technology that defines the future of enterprise reasoning .
• Be part of a globally ambitious AI startup based in Singapore.

Company

ST Engineering Group Engineering Center

Full-Time AI Engineer

We are seeking a passionate and forward-thinking AI Engineer to join our innovation team. In this role, you will work directly with internal stakeholders and customers to understand complex business challenges and rapidly prototype AI-driven solutions using Large Language Models (LLMs) and Generative AI. Your work will influence the development of scalable AI products across diverse industries and use cases.

This role is ideal for someone who thrives in a fast-paced, exploratory environment and enjoys building early-stage solutions from scratch. The ideal candidate will be proficient in leveraging large language models (LLMs), natural language processing (NLP), and be familiar with agentic AI and workflows. You will collaborate with cross-functional teams of engineers, researchers, and product managers to design, develop, and deploy innovative solutions. Your technical expertise will be crucial in experimenting, iterating, and building prototypes of AI systems that demonstrate business value.

• Collaborate with product managers, business analysts, and domain experts to understand customer problem statements and translate them into AI solution opportunities.
• Rapidly prototype AI applications using LLMs and generative AI technologies with strong hands‑on coding abilities.
• Develop and fine‑tune prompt workflows, RAG pipelines, and multi‑agent setups to solve customer‑specific challenges.
• Evaluate and test different LLM‑based tools or architectures to identify optimal approaches for varied use cases.
• Document design decisions, experiment results, and prototypes for internal knowledge sharing with production teams.
• Stay up to date with the latest developments in generative AI, LLMs, and open‑source frameworks; proactively share insights and recommend improvements.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Strong understanding of Retrieval‑Augmented Generation (RAG) and Large Language Models (LLMs) such as GPT‑4, Llama, Mistral or similar.
• High proficiency in prompt engineering with agentic AI concepts and workflow implementation.
• Experience in prototyping with modern AI/LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, OpenAI APIs).
• Proficiency in Python and familiarity with vector databases (e.g., FAISS, Chroma, Weaviate) and cloud environments.
• Creative problem‑solving mindset with an ability to navigate ambiguous requirements.
• Effective communication skills to interact with both technical and non‑technical stakeholders.
• Proven track record of successfully delivering complex AI projects from concept to production.

• 3+ years of industry experience in AI/ML, with direct involvement in building LLM‑based solutions.
• Experience with tools like Streamlit, Gradio, or similar platforms to quickly create AI‑powered demos.
• Bonus if experienced with deploying models in production‑like environments (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Understanding of microservices architecture and RESTful API design.
• Ability to implement monitoring, logging, and alerting systems to ensure the health and performance of AI services.

Exceptional candidates with strong academic projects, internships, open‑source contributions, or demonstrable personal projects in LLMs or generative AI are encouraged to apply.

• Opportunity to work on cutting‑edge generative AI projects that directly impact business innovation.
• Join a young and dynamic team with forward‑looking working culture that fosters innovation, collaboration, and personal growth.
• Access to cutting‑edge technology resources, opportunities for continuous learning and skill development.

Be excited to use Generative AI to bring ideas to life and shape the future of intelligent solutions. Apply now.

Overview

We are looking for a passionate and skilled AI/ML Engineer to join our dynamic team. The ideal candidate will play a key role in building, implementing, and optimizing advanced artificial intelligence and machine learning solutions that enhance our products and services.

This position calls for a solid grasp of machine learning fundamentals , strong coding skills in relevant languages and frameworks, and the ability to collaborate effectively in a fast-paced, innovative environment .

• Design, develop, and deploy machine learning models and algorithms.
• Work with large and complex datasets to extract insights and build scalable data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into products and business operations.
• Optimize model performance and scalability through continuous testing and improvement.
• Research and apply the latest advancements in AI and machine learning.
• Participate in code reviews to ensure code quality and maintainability.
• Troubleshoot, debug, and enhance AI/ML applications and systems.

Required:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.
• Minimum of 3 years’ experience in AI/ML engineering or an equivalent role.
• Strong proficiency in Python and common AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn .
• In-depth knowledge of supervised, unsupervised, and reinforcement learning algorithms.
• Hands-on experience in data preprocessing, feature engineering, and model evaluation .
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices .
• Excellent analytical thinking, problem-solving, and attention to detail.
• Strong communication skills and a collaborative mindset.

• Experience with distributed computing tools (e.g., Spark, Hadoop).
• Knowledge of deep learning architectures and frameworks.
• Practical experience with containerization tools (e.g., Docker, Kubernetes).
• Contributions to open-source AI/ML projects .

Only shortlisted candidates will be notified

EnviroDynamics Solutions Pte Ltd I EA License No.: 12C6285

Email CV to:

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

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