734 Machine Learning Engineering jobs in Singapore

TikTok is a leading destination for short-form mobile video, inspiring creativity and bringing joy to over 1 billion monthly users worldwide.

We are seeking a talented Senior Machine Learning Engineer to join our Search E-Commerce team. This role will be responsible for building the industry's top-class search engine, utilizing cutting-edge NLP, CV, and multi-modal technology.

About the Role

• Improve search quality and user experience: Optimize query analysis and text relevance matching, understand e-commerce video content, and implement multi-modal matching.
• Design and implement ranking systems: Improve personalized shopping interests models, enhance shopping conversion efficiency for merchandise, video, and live stream, promoting GMV growth.
• Promote ecosystem development: Solve challenging problems like supply and demand matching, business cold start, and sustainable business growth, driving long-term and sustainable growth of GMV.

Requirements

• Industry work experience in machine learning.
• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills, solid knowledge of data structures and algorithms.

Benefits

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

• 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.

• 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 .

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in AI/ML engineering or a similar role.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

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

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.

We are seeking a highly motivated and experienced AI/ML Engineer to join our innovative team. The successful candidate will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that drive our services forward.

This role requires a strong understanding of machine learning principles, proficiency in relevant programming languages and frameworks, and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications.

Qualifications

Required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in AI/ML engineering or a similar role.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred:

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

• Manage AI Platform: Set up and oversee both development and production infrastructure for AI/ML workloads, ensuring reliability, scalability, and performance.
• Data Infrastructure: Build robust data ingest and transformation pipelines to support AI/ML model training and inference at scale.
• Model Deployment: Collaborate closely with data scientists to convert AI/ML models into deployable services using best practices in MLOps.
• System Integration: Integrate AI solutions with existing platforms and business systems through APIs, microservices, or other means.
• Access Enablement: Develop APIs or lightweight UIs to make AI capabilities easily accessible to partners and business users.
• Coordinate with different functional teams to implement models and monitor outcomes

• Fluent in Python programming, Linux Systems,
• Strong background in software engineering, data engineering, or AI infrastructure
• Experience with cloud platforms (Azure) and containerization tools (Docker, Kubernetes)
• Familiarity with building RESTful APIs and/or frontend tools for AI interfaces
• Solid understanding of MLOps practices and tools (e.g., MLflow, FastAPI)
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques

• Exposure to big data processing and streaming tools (e.g., Kafka, Spark)
• Proficient in Python and AI/ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with CI/CD and infrastructure-as-code (Terraform, Jenkins)
• Familiarity with security, monitoring, and performance tuning for AI services

*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 seeking an AI Engineer 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 .

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Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Job Summary

We’re looking for an AI Engineer to support our team in Singapore .

This is a 12 months renewable contract role.

Job Description:

We’re seeking an experienced AI Engineer to join our core team responsible for building our internal AI CodeGen platform – a productivity accelerator used by engineering teams to automate code generation, testing, and more. Your mission will be to build scalable, intelligent systems on top of LLMs that help developers focus on high-impact work by reducing manual effort across the SDLC. You’ll contribute to tools that generate code from designs, automate test cases, review code quality, and integrate deeply with GitHub, Jira, and IDEs.

Minimum Qualifications:

• LLM Integration & Prompt Engineering: Experience building applications on top of GPT-3/4, Claude, or similar.
• RAG Systems: Hands-on expertise in Retrieval-Augmented Generation pipelines, vector stores, and semantic search.
• Cloud Infrastructure: Strong AWS experience (Lambda, S3, EC2, IAM); IaC with Terraform or CloudFormation.

Deep Technical Proficiency

• PyTorch, Transformers, and HuggingFace
• Natural Language Understanding (NLU/NLP) for processing specs, wikis, and design inputs
• API Design, GitHub Webhooks, and VS Code extension APIs

Key Responsibilities

• Design, develop, and optimize LLM-based services for code generation, test automation, and AI copilots.
• Implement RAG workflows to combine internal context (e.g., wikis, APIs, design specs) with LLM capabilities.
• Leverage agentic frameworks to enable AI systems to take intelligent actions (e.g., generate PR-ready code or suggest test coverage improvements).
• Collaborate with engineers, product managers, and platform teams to integrate solutions into VS Code, GitHub, and CI/CD pipelines.
• Own and evolve platform architecture, from prompt engineering to model orchestration and security compliance.

Preferred Experience

• Productionizing AI copilots for internal developer workflows
• Contributing to open-source or internal AI agents/platforms
• Knowledge of engineering tooling or enterprise-grade compliance requirements

About CLPS RiDiK

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

• Seniority level Mid-Senior level

• Employment type Contract

• Industries IT Services and IT Consulting

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Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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Direct message the job poster from TENTEN Partners

Join a leading global firm and play a key role in developing a cutting-edge AI/ML platform! Work closely with the GenAI lead to create scalable, resilient, and high-performance AI/ML solutions. If you have a strong MLOps background and experience in building robust AI/ML platforms, this role is for you.

Responsibilities

ML Model Deployment & Monitoring – Serve as the central point for ML model refactoring, optimization, containerization, and deployment while ensuring high-quality output.

Governance & Compliance – Conduct reviews to ensure ML models comply with governance principles like versioning, lineage tracking, and coding best practices.

CI/CD Pipelines & Automation – Develop pipelines for continuous operation, feedback, and monitoring of ML models, addressing data drift, retraining triggers, and rollbacks.

AI Environment Optimisation – Enhance development, testing, and production environments for maximum usability, reliability, and performance.

Cross-Team Collaboration – Work closely with infrastructure, application development, and data engineering teams to integrate ML models into enterprise applications and ensure seamless data flow.

Tech Evaluation & Innovation – Stay ahead of the curve by assessing open-source AI/ML platforms and tools, ensuring optimal performance and integration.

Requirements

Programming & Scripting: Proficiency in Python for ML and automation tasks, with working knowledge of Bash and Unix/Linux commands.

CI/CD & Orchestration: Hands-on experience with Jenkins, GitLab CI, GitHub Actions or similar tools for pipeline orchestration.

Cloud & Containerisation: Strong understanding of OpenShift, Kubernetes, AWS, GCP, or Azure.

ML Libraries & Frameworks: Experience with Pandas, NumPy, TensorFlow, H2O, and at least one MLOps framework (e.g., Kubeflow, AWS SageMaker, Google AI Platform, DataRobot, H2O, or Dataiku).

Big Data & Workflow Orchestration: Knowledge of Spark, Dask, Airflow, or Ctrl-M for distributed data processing and workflow automation.

Monitoring & Logging: Familiarity with Splunk, Geneos, and other logging tools for tracking model performance and troubleshooting.

AI & ML Operationalisation: Strong expertise in scaling, managing, and governing ML models while implementing industry best practices in MLOps.

Leave:22 days annual leave

Healthcare: Comprehensive medical insurance

If this role excites you and you'd like to have a discussion, please reach out to

Equal Opportunity Statement

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Technology, Information and Media

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Johor Baharu, Johore, Malaysia 3 days ago

Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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