258 Deep Learning jobs in Singapore

The ideal candidate will have a strong background in computer vision and deep learning to develop state-of-the-art construction activity monitoring solutions. This role requires versatility, and the successful candidate will have opportunities to contribute across various domains.

• A strong background in computer vision and deep learning.
• Developing state-of-the-art construction activity monitoring solutions.

The successful candidate will have opportunities to contribute across various domains.

This role offers the opportunity to work on cutting-edge projects and contribute to the growth of the company.

To drive innovation and growth in e-commerce, we are seeking a talented Algorithm Engineer Graduate to join our global team. You will play a pivotal role in developing and implementing cutting-edge deep learning and operations research models for the supply chain and logistics of our E-Commerce business.

We are the leading destination for short-form mobile video, striving to inspire creativity and bring joy to users worldwide. Our mission is to empower great people with curiosity, humility, and a desire to make impact in a rapidly growing tech company.

- Develop and optimize global logistic and warehousing networks to improve operations efficiency and reduce operational costs using data analysis, machine learning, and operation research methods.

- Create comprehensive supply chain data portraits and knowledge graphs in various dimensions such as vendors, commodity, place of origin, inventory, production capacity, and quality of fulfillment.

- Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA) and other logistics events to enhance the user logistics experience.

- Participate in the development of merchant and merchandise-related algorithm systems, including potential merchants mining, tiering, and outreach, seller growth diagnosis, and seller mission recommendation system.

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.

Explore a career as a Deep Learning Engineer specializing in Generative AI Image and Video Algorithm Development.

We seek an experienced researcher and developer to enhance image quality using advanced generative AI algorithms. The ideal candidate will have expertise in Stable Diffusion, GANs, ControlNet, LoRA, and model optimization.

• Develop and optimize generative AI algorithms for image quality enhancement, focusing on clarity, color consistency, and noise reduction;
• Research and develop advanced generative AI image quality algorithms to improve image clarity, realism, consistency, and visual harmony.

The successful candidate will be responsible for designing efficient generative AI models to address challenges related to image realism, consistency, and harmony.

Key Responsibilities:

• Design and develop advanced generative AI algorithms for image quality enhancement;
• Collaborate with software and hardware engineering teams to integrate algorithms efficiently;
• Participate in the full algorithm development lifecycle, from prototyping to product deployment.

To excel in this role, you should possess the following qualifications and skills:

• Master's or Ph.D. degree in Computer Vision, Image Processing, Large Models, or related fields;
• Proven experience in research and development of generative AI image generation algorithms;
• Familiarity with novel view synthesis, depth image generation, and image inpainting models;
• Proficiency in Python, with experience in PyTorch or other deep learning frameworks;
• Excellent teamwork, communication, and problem-solving skills.

This role offers opportunities for professional growth, collaboration with experienced engineers, and contributions to innovative projects.

As a member of our team, you will enjoy a dynamic work environment, opportunities for networking, and access to cutting-edge technologies.

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)

Registered EA Personnel (Reg. No.:R1551322)

• Developing the organization's AI roadmap, leading the development of the AI and data science vision, strategy, and capability plan.
• Continuously developing AI data microservices and infrastructure, integrating the latest data models and data pipelines, and establishing a model management approach that sets a best-in-class standard for responsible data use.

• A minimum of 5 years of experience in AI, data science, and computer vision.
• Significant experience in recruiting, establishing, and managing a data science/AI team.
• Proven expertise in developing data strategies and data governance approaches.
• Ability to design, develop, deploy, and manage algorithms, models, and model management approaches.
• Successful delivery of machine learning and data analysis projects, generating actionable data insights.
• Familiarity with industry-specific knowledge, particularly in Facilities Management/Built Environment/Civil Engineering is a significant advantage.