704 AI Professionals jobs in Singapore

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.

Implement AI models for 3D data generation using deep learning techniques. Strong experience in 3D computer vision and 3D graphics required. Responsibilities include data preprocessing and feature engineering. Expert in GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

LOCATION

EMPLOYMENT TYPE

Permanent

1. Developing and implementing deep learning models for 3D data, such as point clouds, voxel grids, and triangle meshes.
2. Training and fine-tuning deep learning models on large datasets of 3D data, such as 3D scans of real-world objects and environments.
3. Using deep learning to extract features and representations from 3D data, such as object segmentation, surface normal estimation, and 3D object recognition.
4. Researching and implementing new techniques for 3D deep learning, such as point cloud convolutional neural networks and volumetric convolutional neural networks.
5. Collaborating with other engineers and researchers to integrate 3D deep learning models into other systems, such as robotics and autonomous vehicles.
6. Building and deploying 3D deep learning models on various platforms, including cloud, edge, and mobile devices.
7. Optimizing the performance of 3D deep learning models, including reducing memory and computational requirements and improving inference speed.
8. Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.
9. Keeping up with current research and developments in the field of 3D deep learning and identifying new opportunities for applying 3D deep learning to real-world problems.
10. Utilizing NVIDIA's deep learning frameworks, such as CUDA, cuDNN, and TensorRT, to optimize the performance of 3D deep learning models.
11. Using NVIDIA's Jetson platform for deploying deep learning models on edge devices.
12. Using NVIDIA's GPU-accelerated cloud platforms, such as NVIDIA GPU Cloud (NGC), for training and deploying deep learning models in the cloud.
13. Leveraging NVIDIA's AI-specific hardware, such as the NVIDIA A100 Tensor Core GPU, for faster and more efficient training and inference of deep learning models.
14. Utilizing NVIDIA's AI development tools, such as DeepStream and Isaac, to develop and deploy AI-powered applications for robotics and autonomous systems.
15. Using NVIDIA's Clara platform for medical imaging and other 3D data analysis.
16. Utilizing NVIDIA's Omniverse platform for creating and training models in virtual environments.

1. Strong technical skills: A 3D Deep Learning Engineer should have a solid understanding of deep learning and computer vision, as well as experience with programming languages such as Python and C++.
2. Experience with 3D data: You should have experience working with 3D data, such as point clouds, voxel grids, and triangle meshes, and should be familiar with the techniques and algorithms used for processing 3D data.
3. Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and NVIDIA's CUDA, cuDNN, and TensorRT, and should be familiar with the techniques used to optimize the performance of deep learning models.
4. Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
5. Attention to detail: You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.
6. Strong communication skills: You should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
7. Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
8. Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
9. Team Player: You should have good collaboration skills and be able to work well in a team environment.
10. Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.

Responsibilities :

• Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.
• Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.

Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. An equivalent combination of education and experience will also be considered.
• Experience: At least 2 years’ experience working in a similar role. Hands-on experience in designing, developing, and deploying machine learning models in real-world applications.
• Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with working on Large Language Models and Generative AI technology is a plus.

Technical skills:

1. Strong programming skills in languages such as Python.
2. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn etc.
3. Solid understanding of Statistical Analysis, Probability Theory, and Hypothesis Testing.
4. Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
5. Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into solvable components, and develop innovative machine learning solutions. Strong mathematical and analytical skills are essential.
6. Communication and collaboration: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Proven ability to work collaboratively in a team environment and effectively manage multiple priorities.
7. Adaptability and continuous learning: Willingness to adapt to evolving technologies and learn new tools and techniques. Demonstrated commitment to staying updated with the latest advancements in machine learning and artificial intelligence.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to for immediate processing.

(EA Reg No: 20C0312)

Join to apply for the Deep Learning Engineer, TikTok e-Commerce role at TikTok

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Join to apply for the Deep Learning Engineer, TikTok e-Commerce role at TikTok

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

• Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.
• Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.
• Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.
• Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.
• Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.
• Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.
• Develop innovative and state-of-the-art e-commerce logistics models and algorithms
• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
• Work with the relevant software platforms in which the models are deployed
  
  

• Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.
• Strong in data structures and algorithms, with excellent problem-solving ability and programming skills
• Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.
• Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).
  
  

• Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.
• Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.
• Working experience in machine learning, operations research or big data analysis.
• Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Entertainment Providers

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Job Title: Senior AI/Data Science/Data Engineering Specialist (Consulting to Full-Time)Location: Remote ( 6:30 PM IST to 3:30 AM IST)Job Type: Opportunity: Transition to Full-Time Based on Performance Start Date: Immediate Joiners PreferredAbout the Role:We are seeking a Senior AI/Data Science/Data Engineering Specialist for a high-impact role supporting advanced data initiatives. This role requires working during US business hours (India time: 6:30 PM IST to 3:30 AM IST).Key Responsibilities: Design, develop, and deploy AI/ML models and data pipelines in production-grade environments. Perform advanced data analysis, feature engineering, and exploratory data modeling. Build, optimize, and maintain ETL/ELT processes using large-scale datasets. Collaborate with cross-functional teams to identify data-driven solutions to business problems. Implement and maintain scalable machine learning pipelines. Ensure high code quality, maintainability, and documentation.Must-Have Skills: Strong expertise in Python for data science, scripting, and automation 5+ years of hands-on experience in AI/ML model development, data engineering, or data science Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar libraries Proficient in SQL, data modeling, and cloud data tools (AWS, GCP, or Azure) Experience with Apache Airflow, Spark, or other big data tools is a plus Strong understanding of data warehousing, pipelines, and MLOps conceptsPreferred Qualifications: Prior experience in consulting engagements with US clients Familiarity with CI/CD pipelines and version control (Git) Excellent communication and problem-solving skills Ability to work independently in a remote, cross-time-zone environmentJob Types: Full-time, Part-time, Contractual / TemporarySchedule: Night shift US shiftExperience: Data science: 5 years (Required) AI: 1 year (Required)Shift availability: Night Shift (Required)Work Location: Remote,

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Key Responsibilities:

• Provides detailed and specific advice regarding the application of their specialism(s) to the organization's planning and operations.
• Responsible for solution design, business development and transition of projects from presales to delivery as well as ongoing sales support.
• Selects and applies appropriate design standards, methods and tools, consistent with the agreed enterprise and solution architectures and ensure that these are effectively applied and adopted.
• Guides successful implementation and execution of system solutions.
• Contributes to the development of solution architectures in specific business, infrastructure or functional areas.
• Maps business processes and relationships clearly, in line with the solution features, and ensure that the recommended approach supports the overall scope of the solution.
• Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns and methodology.
• Provides pre-sales technical support and expertise in analysing client requirements, in conjunction with the client’s current infrastructure, architecture, system capabilities and business challenges.
• Responsible for influencing and guiding members of the Sales team to ensure that they are equipped to close deals.
• Provides input to the requirements baseline and investigates, manages and applies authorized requests for changes to base-lined requirements, in line with change management policy.
• Develops the technical design document to match the solution design specifications.
• Leads the scope of work determination, product pricing and RFP/RFI responses and assist with the decision to pursue or abort a deal.
• Manages client proof of concept (POC) initiatives, which require appropriation of appropriate resources, and setup and delivery of the POC.
• Provides coaching and mentorship to junior Technical Architects.

Knowledge and Attributes:

• Advanced product knowledge integrated with deep technology understanding.
• Advanced understanding of the vendor’s products, business and technology positioning.
• Excellent communication skills both verbal and written.
• Ability to establish and create excellent client relationships with their technical expertise.
• Ability to develop and leverage their advanced knowledge of reference architectures.
• Ability to continuously maintain knowledge of trends and development in technology domains.
• Advanced knowledge of the problem domain that their systems are to provide solutions for.
• Advanced knowledge in core frameworks used.
• Advanced understanding of key vendor subscription models such as Cisco EA 3.0.

Academic Qualifications and Certifications:

• Bachelor's degree in information technology, computer science or information systems or a related field.
• Certification and working knowledge of Enterprise Architecture methodologies (for example, TOGAF, Zachman, SOA, ITIL, COBIT, etc.).
• Vendor product, sales and technology certifications.
• Software and programming languages, for example, C++.
• SAFe Scaled Agile certification advantageous.
• Relevant vendor and industry certifications, for example, Cisco, Microsoft, Oracle,

Required Experience:

• Advanced track record as a developer and architect of new systems/solutions.
• Advanced work experience working as a systems administrator or network engineer.
• Advanced client engagement and development consulting experience.
• Advanced experience managing expectations when balancing alternatives against business and financial constraints.
• Advanced experience in a variety of architectures for specific domain or specialization.
• Advanced designer and development know-how.
• Advanced project management experience ensuring timeous delivery of client solutions.
• Advanced experience presenting technical solutions to non-technical audiences.
• Advanced experience working in an agile development environment.

Responsibilities:

1. Develop and deploy advanced analytics solutions leveraging AI, ML, DL, and Generative AI models.

2. Collaborate with stakeholders to understand business challenges and design data-driven solutions.

3. Build, test, and optimize machine learning pipelines and automation processes using Python.

4. Work with relational and non-relational databases; write efficient SQL queries.

5. Implement asynchronous programming techniques to enhance system performance.

6. Design and develop scalable applications and APIs using frameworks like Django and Flask.

7. Create and integrate REST APIs for seamless data exchange between systems.

8. Deploy and manage analytics solutions in production environments.

9. Troubleshoot and resolve issues in deployment, automation, and analytics workflows.

Requirements:

1. Bachelor's/Master’s degree in Computer Science, Data Science, or a related field.

2. 1+ years of hands-on experience in analytics and AI/ML solution development.

3. Proficient in Python and Python-based automation techniques.

4. Solid understanding of AI/ML/DL concepts and familiarity with Generative AI models.

5. Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, MongoDB).

Project description

We are seeking a dynamic and experienced AI Developer who can lead by example and who possess strong technical skills, a quick-to-learn attitude, and see team management as a growth opportunity.

Responsibilities

• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
• Lead the integration of LLMs and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

SKILLS

Must have

• Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
• Python is a must, with at least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.
• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches
• Agentic AI / Generative AI solution design and implementation
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

Nice to have

Knowledge of Agile

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• Develop and deploy advanced analytics solutions leveraging AI, ML, DL, and Generative AI models.
• Collaborate with stakeholders to understand business challenges and design data-driven solutions.
• Build, test, and optimize machine learning pipelines and automation processes using Python.
• Work with relational and non-relational databases; write efficient SQL queries.
• Implement asynchronous programming techniques to enhance system performance.
• Design and develop scalable applications and APIs using frameworks like Django and Flask.
• Create and integrate REST APIs for seamless data exchange between systems.
• Deploy and manage analytics solutions in production environments.
• Troubleshoot and resolve issues in deployment, automation, and analytics workflows.

• Bachelor's/Master’s degree in Computer Science, Data Science, or a related field.
• 1+ years of hands-on experience in analytics and AI/ML solution development.
• Proficient in Python and Python-based automation techniques.
• Solid understanding of AI/ML/DL concepts and familiarity with Generative AI models.
• Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, MongoDB).

• Entry level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

This job is active and accepting applications.