384 Deep Learning jobs in Singapore

As a senior data scientist, you will be working with diverse datasets including images, videos, audio, and text to drive business growth. You will design, train, optimize, and deploy deep learning models using GPU acceleration.

• Develop and implement comprehensive unit tests and documentation for deep learning models.
• Evaluate and benchmark model performance and quality rigorously.
• Communicate effectively between the business team and engineering team to gather and implement project requirements.
• Own the end-to-end process of defining technical problems to deploying solutions in collaboration with engineers.
• Stay current with the latest advancements in deep learning and AI technologies.

• 3+ years of experience in deep learning, particularly in computer vision, voice, and text processing.
• Proficient in data preprocessing, model training, evaluation, and optimization.
• Practical experience in applying deep learning to solve real business problems with successfully deployed models in production environments.
• Proficient with deep learning frameworks such as PyTorch and familiar with Python, C++, and inference engines like NCNN.
• Experience with cloud platforms like GCP or AWS, and working knowledge of Android/iOS is a plus.
• Strong communication skills to understand business needs and convey analytical solutions effectively.
• Ability to write clear and concise technical documentation.

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.

My client is a multi-strategies leading quantitative trading company, they are hiring a machine learning specialist (in reinforcement or deep learning) to empower their team.

Your key responsibilities will include:

1. Designing and implementing machine learning algorithms and deep learning applications to solve complex business problems.
2. Collaborating with data scientists, traders, researchers, and developers to optimize machine learning models into trading systems and strategies.
3. Constructing optimized data pipelines to feed machine learning models and trading performance monitoring.
4. Conducting research on the latest advancements in machine learning and exploring innovative techniques to enhance our systems.

Qualifications:

1. Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Automation, or a related quantitative field.
2. Prior experience in the financial industry is a bonus but not a must.
3. Proficiency in programming languages such as Python, R, or Julia, and familiarity with machine learning libraries like TensorFlow, PyTorch, or other machine learning frameworks.
4. Experience in computationally intensive research on very large data sets.

Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.

1. Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.
2. Design, train and deploy biometric models to correctly identify users.
3. Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions.
4. Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products.
5. Collaborate with business, product, operations and engineering teams to deliver impact for our customers.
6. Work independently or in a team to solve complex problem statements.

1. An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.
2. Deep understanding of modern computer vision techniques, deep learning and machine learning.
3. Experience developing and deploying machine learning models in production.
4. Experience with adversarial training to enhance model robustness.
5. Proficient in Python, C++, Scala, or Java.
6. Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet.
7. Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.
8. Experience in on-device inference for machine learning models is a plus.
9. Take pride in taking ownership and driving projects to have business impact.
10. Thrive in a fast moving collaborative environment.

What are we trying to solve?

We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now. Every year, 140 million babies are born, of which 40 million go unregistered. Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.

At VIDA , we are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.

Why are we solving this problem?

The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.

Who are we?

We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption - Our collective goal aligns.

Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.

Responsibilities:

• Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.

• Design, train and deploy biometric models to correctly identify users

• Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions

• Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products

• Collaborate with business, product, operations and engineering teams to deliver impact for our customers

• Work independently or in a team to solve complex problem statements

Requirements:

• An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.

• Deep understanding of modern computer vision techniques, deep learning and machine learning

• Experience developing and deploying machine learning models in production

• Experience with adversarial training to enhance model robustness

• Proficient in Python, C++, Scala, or Java

• Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet

• Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.

• Experience in on-device inference for machine learning models is a plus

• Take pride in taking ownership and driving projects to have business impact

• Thrive in a fast moving collaborative environment

What are we trying to solve?

We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now.

Every year, 140 million babies are born, of which 40 million go unregistered.

Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.

At VIDA , We are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.

Why are we solving this problem?

The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.

Who are we?

We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption - Our collective goal aligns.

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

Responsibilities

· Lead the planning, execution, and delivery of data and cloud engineering projects for the next-generation Air Traffic Management (ATM) platform.

· Collaborate closely with engineering, data, and domain teams to define scope, milestones, and delivery plans aligned with business objectives.

· Drive Agile/Scrum practices, manage backlogs, conduct sprint ceremonies, and ensure transparency of progress and risks.

· Coordinate dependencies across batch and streaming pipelines, cloud infrastructure (AWS), and data platforms (e.g., Databricks).

o Track and manage risks, issues, and changes proactively, ensuring timely mitigation and stakeholder communication.

o Ensure project deliverables meet high standards of quality, security, and compliance, especially in regulated or safety-critical environments.

o Manage vendor engagement, technical documentation, and project reporting for internal and external stakeholders.

o Champion continuous improvement by identifying delivery bottlenecks and facilitating retrospectives and action plans.

Qualifications

• Proven experience managing technical projects involving cloud-native architectures and data engineering platforms.

• Strong understanding of AWS services and data platforms such as Databricks, with the ability to engage confidently with engineering teams.

• Experience leading Agile/Scrum teams, with proficiency in project tracking tools (e.g., Jira, Confluence).

• Ability to manage complex timelines, dependencies, and deliverables across multiple technical workstreams.

• Excellent communication, stakeholder management, and cross-functional coordination skills.

• Strong analytical and problem-solving capabilities, with a structured approach to risk and issue management.

• Bachelor's degree in computer science, Engineering, Information Systems, or a related field.

Preferred Qualifications

• Experience managing projects involving AWS, Databricks, Delta Lake, and modern data architectures (e.g., Lakehouse).

• Exposure to AI/Gen AI initiatives, intelligent agent workflows, or advanced analytics use cases.

• Familiarity with aviation data standards (e.g., ADS-B, ARINC 424, flight schedules) or a demonstrated ability to quickly learn domain-specific concepts.

• Relevant certifications such as PMP, PMI-ACP, AWS Certified Cloud Practitioner, or AWS Solutions Architect – Associate.

• Background in delivering high-performance, real-time, or large-scale data systems in regulated or safety-critical environments.

To Apply:

Please send your latest CV in word file to

Kindly indicate your availability, current and expected remuneration package.

We regret that only shortlisted candidates will be notified.

For more job opportunities, please visit our career page: Solutions Pte Ltd (License Number: 06C3126)

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