120 AI Expertise jobs in Singapore

AI Engineering Intern (Computer Vision & Deep Learning)

139951 Ayer Rajah Crescent, Singapore $1500 Monthly CYNAPSE PTE. LTD.

Posted 14 days ago

Job Viewed

Tap Again To Close

Job Description

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 looking for an AI Engineering Intern (Computer Vision & Deep Learning) to join our Computer Vision Model Engineering Team. This is a unique opportunity to contribute to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and ML pipelines.

You'll work alongside a dynamic team, gaining hands-on experience and contributing to real-world AI projects that optimize the machine learning lifecycle.

As an AI Engineering Intern, you will:

  • Gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
  • Work closely with engineers to design, build, and refine deep learning models for various Computer Vision tasks, such as image classification, segmentation, object detection, action recognition, and more.
  • Work with ML pipelines that support model deployment, assisting with tasks like model integration, data versioning , automated training, and testing.
  • Contribute to the optimization of models and pipelines by conducting experiments, analyzing
  • results, and helping to improve model performance.
  • Gain exposure to modern tools like Docker, CI/CD , and cloud platforms to support scalable, reliable model deployment.
  • Dive into cutting-edge research and gain insights into model architecture optimization, scalability, and challenges related to real-time application in Computer Vision.

Requirements:

  • Currently pursuing or completed a Diploma/ Bachelor/ Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
  • Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
  • Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
  • Familiarity with at least one deep learning framework such as TensorFlow, PyTorch , or similar.
  • Strong analytical thinking and problem-solving skills , with an emphasis on improving software pipelines .

Preferred (Bonus Skills):

  • Familiarity with building and optimizing ML pipelines , including data preprocessing, model training, testing , and deployment .
  • Experience in software engineering practices like version control (Git), CI/CD pipelines , or Docker for containerization.
  • Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
  • Knowledge of computer vision concepts and libraries (e.g., OpenCV).
  • Interest in exploring advanced topics like Generative AI, multi-modal learning , or real-time video analytics .

Duration:

  • Internship duration: Minimum 4 months (negotiable based on the candidate's schedule).
  • Availability: At least 4 days a week , with a preference for full-time commitment.
  • Flexible start and end dates to accommodate exams or personal schedules.

Note : Due to the nature of the role, candidates must be based in Singapore or have relevant experience studying/working in Singapore.

This advertiser has chosen not to accept applicants from your region.

Senior Deep Learning Architect, Generative AI Innovation Center

Singapore, Singapore Amazon

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale.
The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.
As a Deep Learning Architect, you will
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in Computer Science or a related field
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Experience managing and deploying ML products
- 4+ years of building machine learning models for business application experience
- 5+ years of leading and delivering enterprise-level IT engagements experience
Preferred Qualifications
- Master's degree in computer science, computer engineering, or related field, or PhD
- 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 8+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

Senior Deep Learning Architect, Generative AI Innovation Center

Singapore, Singapore Amazon

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale.
The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.
As a Deep Learning Architect, you will
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

Senior Deep Learning Architect, Generative AI Innovation Center

Singapore, Singapore $120000 - $240000 Y Amazon

Posted today

Job Viewed

Tap Again To Close

Job Description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale.

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.

As a Deep Learning Architect, you will

  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
  • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
  • Provide customer and market feedback to product and engineering teams to help define product direction

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

BASIC QUALIFICATIONS

  • Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
  • 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
  • 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
  • 4+ years of hands on experience with Python to build, train, and evaluate models
  • 4+ years of technical client engagement experience

PREFERRED QUALIFICATIONS

  • Masters or PhD degree in computer science, or related technical, math, or scientific field
  • 3+ years experience working with deep learning, machine learning, generative AI, or statistics
  • Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
  • Experience building cloud solutions with AWS

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job details

SGP, Singapore

Data Science

This advertiser has chosen not to accept applicants from your region.

Senior Deep Learning Architect, Generative AI Innovation Center

Singapore, Singapore $104000 - $130878 Y Amazon Web Services

Posted today

Job Viewed

Tap Again To Close

Job Description

DESCRIPTION

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale.

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.

As a Deep Learning Architect, you will

  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
  • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
  • Provide customer and market feedback to product and engineering teams to help define product direction

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

BASIC QUALIFICATIONS
  • Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
  • 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
  • 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
  • 4+ years of hands on experience with Python to build, train, and evaluate models
  • 4+ years of technical client engagement experience
PREFERRED QUALIFICATIONS
  • Masters or PhD degree in computer science, or related technical, math, or scientific field
  • 3+ years experience working with deep learning, machine learning, generative AI, or statistics
  • Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
  • Experience building cloud solutions with AWS

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

This advertiser has chosen not to accept applicants from your region.

Senior Deep Learning Architect, Generative AI Innovation Center

Singapore, Singapore $120000 - $240000 Y Amazon Web Services

Posted today

Job Viewed

Tap Again To Close

Job Description

DESCRIPTION

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale.

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.

As a Deep Learning Architect, you will

  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
  • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
  • Provide customer and market feedback to product and engineering teams to help define product direction

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

BASIC QUALIFICATIONS
  • Bachelor's degree in Computer Science or a related field
  • 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
  • Experience managing and deploying ML products
  • 4+ years of building machine learning models for business application experience
  • 5+ years of leading and delivering enterprise-level IT engagements experience
PREFERRED QUALIFICATIONS
  • Master's degree in computer science, computer engineering, or related field, or PhD
  • 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
  • 8+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
  • Experience architecting/operating solutions built on AWS

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

This advertiser has chosen not to accept applicants from your region.

Deep Learning Algorithm Graduate (TikTok Search Ranking) - 2026 Start (BS/MS)

048583 Raffles Quay, Singapore $16000 Monthly TIKTOK PTE. LTD.

Posted 12 days ago

Job Viewed

Tap Again To Close

Job Description

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.


Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

Our Search Ranking Team is responsible for building the relevance/retrieval/ranking AI models for TikTok's search business. Here you’ll have the opportunity to build a full-stack search engine system based on advanced AI and machine learning methods to provide a world leading search engine. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.


We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.


Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.


Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.


Responsibilities

- Optimize the searching algorithms to improve TikTok's search user experience.

- Combine your understanding of product objectives and take full advantage of modern machine learning, AI, NLP/CV techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Qualifications

Minimum Qualifications:

- Final year or recent graduate with a background in Computer Science or a related technical field.

- Proficient coding skills and strong algorithm & data structure using C++/Python/Java.

- Have a solid knowledge of machine learning and practical experience in applying it.


Preferred Qualifications:

- Effective communication and teamwork skills.

- Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV.


By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:


If you have any questions, please reach out to us at

This advertiser has chosen not to accept applicants from your region.
Be The First To Know

About the latest Ai expertise Jobs in Singapore !

Machine Learning

Singapore, Singapore $60000 - $80000 Y Atomionics Pte. Ltd.

Posted today

Job Viewed

Tap Again To Close

Job Description

At Atomionics, we build quantum gravimeters that are set to revolutionize the resource exploration industry. We are looking for a motivated intern with experience in time-series machine learning to contribute to the development of our high-performance sensors.

Responsibilities

  • Design and implement a machine learning model to map time-series data from support sensors to our quantum gravimeter data.

  • Evaluate model performance on both synthetic and experimental datasets.

  • Work closely with our multidisciplinary team to validate results and address challenges such as limited data coverage or overfitting.

  • Visualise the performance of the model as well as intermediate outputs.

Qualifications

  • Education background physics, engineering, or data science is highly desirable.

  • Hands on experience with neural networks applicable to time-series data

  • Strong Python programming skills: NumPy, SciPy, pandas, visualization packages

  • Proficient with ML libraries such as PyTorch/TensorFlow/Keras, etc.

  • Familiar with signal processing basics: Fourier transform, windowing, filtering

  • Analytical mindset

What can we offer you

  • A chance to learn about the intricacies of deep tech research, product development, and strategy in a high-growth startup
  • Work on the cutting edge of quantum technology
  • A book allowance to help you grow and collectively build the Atomionics library
  • Board games and curry night
This advertiser has chosen not to accept applicants from your region.

Machine Learning

Singapore, Singapore $120000 - $240000 Y iCompass

Posted today

Job Viewed

Tap Again To Close

Job Description

About Us

iCOMPASS Pte. Ltd. is a Singapore-headquartered RegTech company and spin-off from a leading advisory firm. iCOMPASS develops the world's first AI-powered compliance operating system designed for financial institutions. Designed in Singapore and built for global scalability, iCOMPASS is redefining how the financial industry approaches compliance in the age of AI.

Built at the intersection of regulatory expertise and cutting-edge technology, iCOMPASS transforms compliance from a reactive obligation into a proactive governance framework. With a vision to make regulatory compliance accessible, seamless, and adaptive, iCOMPASS empowers financial institutions of all sizes to reduce cost, mitigate risk, and enhance productivity.

Roles & Responsibilities

The successful candidate will design, build, and optimize LLM-driven solutions that support regulatory compliance, risk management. This role requires a deep understanding of both machine learning/NLP systems and compliance frameworks. The following summarises the scope of work:

  • Model Development & Deployment

  • Develop custom pipelines integrating structured (databases, transactions) and unstructured (news, documents, chat logs) data for compliance workflows.

  • Implement explainability and interpretability layers to meet regulatory expectations.

  • Compliance & Risk Applications

  • Build systems that detect and classify financial crime risks (PEPs, RCAs, UBOs, sanctions exposure).

  • Automate compliance document processing, regulatory reporting, and policy interpretation.

  • Work closely with compliance officers to translate regulatory obligations into machine-executable rules.

  • Systems Integration

  • Deploy LLM-powered applications into enterprise-grade financial compliance platforms.

  • Ensure robustness, scalability, and security of deployed models in production environments.

  • Collaborate with engineering teams to integrate APIs, knowledge graphs, and third-party datasets.

  • Research & Innovation

  • Stay current with LLM advancements (RAG, fine-tuning, agents) and evaluate their applicability to compliance.

  • Prototype tools for proactive risk detection and regulatory change monitoring.

  • Others: Assist in ad-hoc projects or initiatives as assigned by management.

Requirements:

  • Bachelor's Degree in Computer Science and any other relevant disciplines
  • Strong analytical skills with the ability to assess risk and regulatory impact
  • Ability to work independently and as part of a team in a fast-paced environment
  • Excellent communication and presentation skills

Why Join Us?

  • Engage in exciting projects to enhance compliance processes through innovation.
  • Collaborative and dynamic work environment with opportunities for growth.
  • We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
  • If you are looking to create impact in the regulated industry through technology transformation, this job is for you

If you are passionate about cross-pollinating regulatory compliance and technology, and enjoy problem-solving in a fast-paced environment, we invite you to apply for this role

This advertiser has chosen not to accept applicants from your region.

Artificial Intelligence/Machine Learning Modeller- Global Markets

Singapore, Singapore $150000 - $200000 Y Barclays

Posted today

Job Viewed

Tap Again To Close

Job Description

Date live:

09/03/2025

Business Area:

Cross Markets

Area of Expertise:

Markets

Contract:

Permanent

Reference Code:

JR

Join the Barclays Global Markets in Singapore as an AI/ML Modeller where you'll play a crucial role in building an AI/ML team and we're doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We're looking for technically exceptional, intellectually curious individuals who thrive on solving complex problems with elegant, practical solutions. You'll help shape a greenfield function, designing and deploying models that drive innovation across trading and distribution. You'll be assessed on your ability to think strategically, manage risk, and deliver high-quality, scalable solutions. But above all, we value curiosity, creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast.

This role requires these essential skills/ qualifications:

  • Master's degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred).
  • A proven record of a strong foundation in Machine Learning, data science, and software engineering.
  • Proven experience with Python
  • Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
  • Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective.
  • Champions a collaborative mindset and a drive to learn, iterate, and improve.
  • Publications or open-source contributions? Even better—we value original thinking.

Desirable skills and qualifications

  • Experience in quant trading (especially eFX) or alpha research.
  • Large Language Models (LLM) expertise.
  • Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.

You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.

Accountabilities

  • Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
  • Working closely with sales teams to identify clients' needs and develop customised solutions.
  • In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
  • Provide front office infrastructure support though ownership and maintenance of analytical libraries.
  • Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

This advertiser has chosen not to accept applicants from your region.
 

Nearby Locations

Other Jobs Near Me

Industry

  1. request_quote Accounting
  2. work Administrative
  3. eco Agriculture Forestry
  4. smart_toy AI & Emerging Technologies
  5. school Apprenticeships & Trainee
  6. apartment Architecture
  7. palette Arts & Entertainment
  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
View All AI Expertise Jobs View All Jobs in Singapore