614 Machine Learning Engineering jobs in Singapore

Are you ready to ignite your career and be part of something truly extraordinary? At ASUS, we’re In Search of Incredible—and we want you on our team! We’re looking for dynamic, passionate individuals who are eager to innovate, create, and make waves in the tech world. If you’re fueled by ambition and thrive in a fast-paced environment where your ideas can shape the future, this is your opportunity to shine.

Join us, and let’s chase the incredible together!

AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region.

The Responsibilities:

• Hands-on technical leadership and management of day-to-day activities of the ML engineering team within an Agile/Scrum environment.
• Build and grow a best-in-class engineering team.
• Work closely with the engineers to architect and develop the best ML solutions on the public cloud, including models, pipelines, performance optimization, testing, and deployment.
• Collaborate across engineering and product teams to translate business needs into ML specifications and deliverables.
• Work with an entrepreneurial team of experienced AI researchers and software engineers to successfully ship software products and continue to grow our business.
• Report on the status of development, quality, operations, and system performance to management.
• Management of departmental resources, staffing, and mentoring.

The Requirements:

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
• 8+ years of building successful machine learning software solutions.
• 3+ years of experience managing ML and software engineers.
• Strong machine learning and deep learning fundamentals.
• Proficiency in developing and deploying ML solutions on Azure or other public cloud providers.
• Understanding of best practices in MLOps and software development processes including coding standards, code reviews, data and model pipelines, source control (GitHub), and test automation/CICD.

• At least 7 years of experience in Machine Learning, Data Science, or AI.
• At least 3 years of experience in managing and leading teams in a technical environment.
• Proven track record of building and deploying machine learning models in production.
• Proficiency in software development best practices, including adherence to coding standards, conducting code reviews, applying design patterns, managing source control (e.g., GitHub), and implementing test automation and CI/CD pipelines.
• Experience with large-scale data processing, cloud platforms (AWS, Google Cloud, Azure), and Machine Learning frameworks (TensorFlow, PyTorch).

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Responsibilities

About the Team

The Global e-commerce team is a content e-commerce business utilizing international short video products as carriers. Our aim is to become the preferred choice for users seeking to discover and purchase affordable, high-quality products. We provide users with tailored, vibrant, and efficient consumption experiences while enabling merchants to access robust and dependable platform services in various scenarios, such as live e-commerce and short video content e-commerce. Our vision is to make affordable and high-quality products easily accessible, enhancing the quality of life for all. We are actively seeking Tech Lead Managers to contribute to our team's growth and product success.

The team is responsible for development of data analytics & data-empowered platform capabilities across Global E-Commerce. Our mission is to empower our users to leverage and extract actionable insights from data to maximise their potential and efficiency on the global e-commerce platform. In essence, we want to extract facts, attribute causes and predict the future from oceans of data; and our fundamental goals are to reflect business impact, leverage data to support key decisions by lowering decision making complexity and optimising decision making efficacy and efficiency.

Responsibilities

- Participate in business operations of merchants, product growth, major promotional events, and other business scenarios by customizing algorithm strategies to support B-side (merchant-side) operations and ensure continuous growth in merchants' GMV (Gross Merchandise Value).

- Collaborate with product operations and business teams to identify mutually beneficial business models for merchants and the platform in various scenarios (such as live streaming, major promotions, and merchant growth), and implement them through technical solutions.

- Understand e-commerce operations and coordinate with upstream and downstream teams, continuously optimizing data products based on data-driven insights, and developing data strategy products such as data diagnostics and attribution, as well as scenario-specific strategy tools.

- Design and develop various strategies, algorithms, and machine learning techniques to enhance the impact of data assets on business metrics.

Qualifications

Minimum Qualifications

- Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.

- 2+ years managing or leading a software engineering team.

- 5+ years of machine learning experience.

- Familiar with common data mining techniques and machine learning algorithms (e.g., GBDT, XGBoost, FM, DFM), and well-versed in their principles and application scenarios.

- Proficient in using data mining and machine learning tools and common frameworks (e.g., TensorFlow, PyTorch), with a habit of continuous learning and staying up to date with the latest research and advancements in the machine learning field, to explore the application of big data across various vertical domains.

Preferred Qualifications

- Candidates with team management experience and in-depth research in the following areas are preferred:

- Experience with B-side (merchant-side) algorithms in e-commerce, particularly in optimizing algorithms related to merchant operations such as merchant and product traffic.

- Algorithm strategy experience in vertical industries (e-commerce, finance, gaming, travel, real estate, etc.).

- Experience in the development and optimization of advertising and recommendation algorithms.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

About the Team

The Global e-commerce team is a content e-commerce business utilizing international short video products as carriers. Our aim is to become the preferred choice for users seeking to discover and purchase affordable, high-quality products. We provide users with tailored, vibrant, and efficient consumption experiences while enabling merchants to access robust and dependable platform services in various scenarios, such as live e-commerce and short video content e-commerce. Our vision is to make affordable and high-quality products easily accessible, enhancing the quality of life for all. We are actively seeking Tech Lead Managers to contribute to our team's growth and product success.

The team is responsible for development of data analytics & data-empowered platform capabilities across Global E-Commerce. Our mission is to empower our users to leverage and extract actionable insights from data to maximise their potential and efficiency on the global e-commerce platform. In essence, we want to extract facts, attribute causes and predict the future from oceans of data; and our fundamental goals are to reflect business impact, leverage data to support key decisions by lowering decision making complexity and optimising decision making efficacy and efficiency.

Responsibilities

- Participate in business operations of merchants, product growth, major promotional events, and other business scenarios by customizing algorithm strategies to support B-side (merchant-side) operations and ensure continuous growth in merchants' GMV (Gross Merchandise Value).

- Collaborate with product operations and business teams to identify mutually beneficial business models for merchants and the platform in various scenarios (such as live streaming, major promotions, and merchant growth), and implement them through technical solutions.

- Understand e-commerce operations and coordinate with upstream and downstream teams, continuously optimizing data products based on data-driven insights, and developing data strategy products such as data diagnostics and attribution, as well as scenario-specific strategy tools.

- Design and develop various strategies, algorithms, and machine learning techniques to enhance the impact of data assets on business metrics.

Qualifications

Minimum Qualifications

- Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.

- 2+ years managing or leading a software engineering team.

- 5+ years of machine learning experience.

- Familiar with common data mining techniques and machine learning algorithms (e.g., GBDT, XGBoost, FM, DFM), and well-versed in their principles and application scenarios.

- Proficient in using data mining and machine learning tools and common frameworks (e.g., TensorFlow, PyTorch), with a habit of continuous learning and staying up to date with the latest research and advancements in the machine learning field, to explore the application of big data across various vertical domains.

Preferred Qualifications

- Candidates with team management experience and in-depth research in the following areas are preferred:

- Experience with B-side (merchant-side) algorithms in e-commerce, particularly in optimizing algorithms related to merchant operations such as merchant and product traffic.

- Algorithm strategy experience in vertical industries (e-commerce, finance, gaming, travel, real estate, etc.).

- Experience in the development and optimization of advertising and recommendation algorithms.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Roles & Responsibilities

CFB Bots Pte Ltd is a leading technology company specializing in automation and AI. We are at the forefront of innovation, leveraging cutting-edge AI/ML technologies to develop intelligent solutions that transform businesses.

Our dynamic team is passionate about pushing boundaries and creating impactful solutions that drive positive change. We are committed to fostering a collaborative and inclusive work environment where interns can gain valuable experience and make a real difference.

About the Role

As an AI/ML Intern, you will be part of a dynamic R&D team that explores and implements state-of-the-art AI/ML solutions to solve complex problems. This internship will provide you with hands-on experience in the development, implementation, and evaluation of AI/ML models while working on real-world applications. Specifically, you will:

• Research, develop and implement appropriate AI/ML models and algorithms for various projects
• Analyse and implement strategies for data collection and extraction, and pre-processing
• Perform rigorous testing and validation of AI/ML models to ensure accuracy, reliability, and robustness
• Assist in optimizing and fine-tuning AI/ML models to improve performance and efficiency
• Document and communicate the technical details, progress, and results to team members and stakeholders

Requirements

• Possess or currently pursuing a Degree in Information Technology/Computer Science or relevant discipline
• Proficient in Python programming
• Understanding of machine learning, large language models, computer vision, natural language processing, etc
• Experience with popular AI/ML frameworks and libraries
• Self-motivated and results-oriented individual with an inquisitive mindset
• Able to work independently in a dynamic environment with assigned timelines

Interested candidates must submit your portfolio as part of the job application. In your application, please also indicate the name of the person that you most look up to.

Tell employers what skills you have

Machine Learning
Strongly self-motivated
Critical Thinking
Self-driven
Artificial Intelligence
Enthusiasm to learn
Python
Fast Learner
Python Programming
Able To Work Independently

Roles & Responsibilities

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones
• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks
• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training
• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution
• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository
• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams
• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Required qualifications and profile:

• Bachelor's or master's degree in computer science, data science, artificial intelligence or related engineering fields.
• Minimum 3 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems
• Strong proficiency in Python and their respective computer vision ML/DL libraries
• Experience with Tensorflow and Pytorch deep learning frameworks
• Experience in computer vision using OpenCV and DNN models (e.g., various Convolutional Neural Network (CNN)-based models, such as R-CNN, YOLO, and FCN, as well as various Vision Transformer-based models, such as DeTR and its improved variants)
• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision
• Experience in large-scale image data processing and architecting of data pipelines
• Possess data storytelling, information visualisation and technical writing skills
• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team
• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

Tell employers what skills you have

TensorFlow
Machine Learning
Image Processing
Technical Writing
Pipelines
Segmentation
OpenCV
Artificial Intelligence
Computer Vision
PyTorch
Python
Data Science
Storytelling
Writing Skills

Roles & Responsibilities

Job Description:

· Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.

· Develop AI-enabled products and services with other groups in the company

· Collaborate with world-class organizations in academia projects

Skills / Qualifications:

· Possess a PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences

· Demonstrate the ability to generate new ideas.

· Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields

· Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Interested candidate please click "APPLY" to begin your job search journey.

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Tell employers what skills you have

TensorFlow
Machine Learning
Report Writing
Academia
Pipelines
Natural Language Processing
Data Transformation
Artificial Intelligence
Python
Statistics
Data Science
Java
Job Search
FEED
Applied Mathematics
C++

Roles & Responsibilities

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.

Tell employers what skills you have

TensorFlow
Machine Learning
Pipelines
OpenCV
Artificial Intelligence
Computer Vision
PyTorch
Docker
Python Programming
C++

Job Summary

Skilled and proactive AI Engineer to manage our AI platform and help turn innovative models into scalable, production-ready solutions. You'll be instrumental in setting up infrastructure, streamlining data pipelines, and enabling accessible, high-performance AI services for multiple stakeholders.

Job responsibilities

• 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

Job Requirements

• 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

Good to have

• 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

If the requirement matches with your profile, kindly share your updated CV/resume to Aparna at

Roles & Responsibilities

Job Summary

Skilled and proactive AI Engineer to manage our AI platform and help turn innovative models into scalable, production-ready solutions. You'll be instrumental in setting up infrastructure, streamlining data pipelines, and enabling accessible, high-performance AI services for multiple stakeholders.

Job responsibilities

• 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

Job Requirements

• 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

Good to have

• 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

If the requirement matches with your profile, kindly share your updated CV/resume to Aparna at

Tell employers what skills you have

TensorFlow
Streamlining
Big Data
Pipelines
Software Engineering
Reliability
Data Engineering
PyTorch
Python
Containerization
Performance Tuning
Docker
Python Programming
Linux
FastAPI