196 AI Models jobs in Singapore

This is a 1-year contract position.

The AI Engineer will serve as a technical expert in the fields of Natural Language Processing (NLP) and Language Model Learning (LLM), especially in the areas of Chatbot, RAG (Retrieval-Augmented Generation), and Agentic Systems.

The primary responsibilities of this role will include:

1. Working as a technical expert with extensive knowledge in NLP, LLM RAG, Chatbot, and Agentic Systems . Staying abreast of the latest advancements and integrating this knowledge into our workflow.
2. Transforming prototypes into production solutions following best practices for development and deployment, requiring a comprehensive understanding of technical requirements and problem-solving skills.
3. Supporting the operation of solutions through troubleshooting, bug fixing, and implementing change requests to meet user requirements.

You are best equipped for this task if you have:

• Masters or Bachelors Degree in Computer Science, Mathematics, Statistics, or equivalent.

Profile/Experience:

• Minimum of 5 years of relevant work experience in NLP/AI/ML , including at least 1 year focusing on LLM .
• Hands-on experience in LLM/Generative AI, Chatbot, RAG, or Agent , including designing and implementing AI solutions powered by LLM.
• Extensive experience in Software Engineering & Development cycles (CI/CD) with proficiency in scripting languages, particularly Python.
• Strong understanding and hands-on experience with the AWS technology stack, especially in RAG, agents, and chatbots.
• Good understanding and experience with Kubernetes / OpenShift .
• Working knowledge of API development for model endpoints using Python/FASTAPI .

Other Skills / Attributes:

• Highly motivated, structured, and methodical with a high degree of self-initiative.
• Team player with good cross-cultural skills for working in an international team.
• Customer and result-oriented.
• This is a 1-year contract under a third-party payroll partner and is entitled to benefits according to the partner company.

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables innovative solutions for green energy, clean mobility, and smart IoT. We drive innovation and customer success, caring for our people and empowering them to reach ambitious goals. Join us in making life easier, safer, and greener.

Are you in?

We are committed to diversity and inclusion, welcoming everyone for who they are. Our environment is built on trust, openness, respect, and tolerance, and we are dedicated to providing equal opportunities. Please inform your recruiter if you need any accommodations during the interview process. Click here for more information about Diversity & Inclusion at Infineon.

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.

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

1 day ago Be among the first 25 applicants

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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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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.

(Job ID: 105553)

Responsibilities:

• Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automation in semiconductor manufacturing.
• Implement deep learning-based vision models for high-speed and high-accuracy inspection processes.
• Integrate vision systems with robotics, automation platforms, and semiconductor backend equipment (e.g., wire bonders, die bonders).
• Develop and fine-tune image processing techniques for pattern recognition, object tracking, and quality inspection.
• Work closely with cross-functional teams to enhance real-time vision inspection and improve production yield.
• Conduct data analysis, model validation, and performance tuning to meet industry standards.
• Optimize vision system performance in terms of latency, accuracy, and robustness.

Requirements:

• Strong experience in computer vision, image processing, and machine learning.
• Proficiency in Python, C++, OpenCV, TensorFlow, or PyTorch for vision-related applications.
• Experience with deep learning models (CNNs, GANs, Transformers) for vision tasks is an added advantage.
• Familiarity with semiconductor automation, optical inspection, or metrology is advantageous.
• Knowledge of real-time processing, embedded systems, and hardware acceleration (CUDA, FPGA, etc.) is an added advantage.

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However, rest assured that all applications will be updated to our resume bank for future opportunities.

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Direct message the job poster from TENTEN Partners

We’re excited to partner with a leading global bank at the forefront of AI transformation. As part of their expanding AI platform team, they’re seeking a skilled AI Ops Engineer to help build and scale world-class AI infrastructure that supports next-gen data science and machine learning initiatives.

This is a key engineering role focused on developing and deploying scalable, secure, and reliable AI solutions across the organisation, bridging MLOps, LLMOps, cloud/on-prem infrastructure, and data governance.

What You'll Do

• MLOps & LLMOps: Build, optimise, and maintain machine learning and large language model pipelines
• CI/CD/CT/CM: Implement and support continuous integration, testing, deployment, and monitoring processes
• Infrastructure: Manage hybrid cloud and on-prem environments for AI workloads
• Data & Model Management: Establish data catalogs, model registries, and domain modeling frameworks
• Responsible AI: Automate compliance and ethical AI practices
• Governance: Develop dashboards, trace data/model lineage, and manage operational risk controls
• Collaboration & Innovation: Partner with cross-functional teams to drive innovation and engineering excellence
• Mentorship: Provide technical support and mentorship to junior engineers

What We're Looking For

• More than 6 years experience in AI/ML engineering with proven end-to-end model deployment
• Proficient with ML frameworks (e.g., TensorFlow, PyTorch) and MLOps tools (e.g., MLflow, Kubeflow)
• Skilled in managing infrastructure on AWS, Azure, and using Infrastructure-as-Code tools
• Strong programming skills in Python, Java, or C++
• Experience in GPU optimisation, ETL processes, and handling large datasets
• Excellent communication and collaboration skills

What’s on Offer

• Salary: SGD 180K – 220K base + performance bonus
• 22 days of annual leave
• Comprehensive insurance and medical benefits
• Join a global team leading real-world AI implementation at scale

Interested? Send your cv to j

Equal Opportunity Statement

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance and Information Technology
• Industries Banking, Financial Services, and Technology, Information and Media

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Queenstown, Central Singapore Community Development Council, Singapore 5 months ago

South East Community Development Council, Singapore 1 day ago

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1 month ago Be among the first 25 applicants

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We’re looking for a Full Stack Developer to join our AI Platform team. You’ll be building tools and systems that help teams easily develop and deploy Generative AI use cases in a secure and scalable way. The platform includes SDKs, APIs, and portals that connect to services like Azure OpenAI and AWS Textract.

Key Responsibilities:

• Develop and maintain backend APIs using Python (FastAPI, Pydantic, Poetry).
• Build and enhance frontend interfaces using React.
• Support AI-powered workflows, including chat and non-chat use cases.
• Improve scalability for high-concurrency AI workloads.
• Contribute to innovation features and rapid prototyping.
• Enhance API gateways (Apollo to Kong).
• Integrate with cloud platforms and external AI services (Azure OpenAI, AWS Textract, etc.).
• Work on infrastructure-as-code using Terraform.
• Automate CI/CD pipelines using tools like GitHub Actions, GitLab, or Jenkins.
• Work within a team using solid engineering practices like TDD and SOLID principles.

Requirements:

• Bachelor’s degree in a STEM field (Science, Technology, Engineering, Mathematics).
• 3+ years of software development experience.
• CI/CD pipelines using tools like GitHub Actions, GitLab, or Jenkins.
• Strong in Python development with production-ready experience.
• Python libraries: FastAPI, Pydantic, Poetry, Artificial Intelligence libraries (e.g. Langflow).
• At least 2 years working on platform tools or internal developer tools.
• Experience with cloud platforms like AWS, Azure, or GCP.
• Familiar with container technologies like Kubernetes, EKS, or OpenShift.
• Familiar with AI/ML tools or platforms (e.g., Langflow).
• Good understanding of Terraform and infrastructure-as-code.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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South East Community Development Council, Singapore 4 days ago

Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

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Direct message the job poster from Talentvis

The Applied Research Engineer will drive the development and implementation of advanced AI/ML algorithms for financial crime detection and compliance. This role acts as a bridge between AI research and production deployment, focusing on building scalable, compliant, and explainable AI solutions.

About the Role:

• AI/ML R&D : Develop and optimize machine learning models (e.g., deep learning, graph-based AI) for fraud detection and risk management.
• Algorithm Innovation : Enhance model performance through advanced feature engineering, federated learning, and real-time inference optimization.
• Deployment : Collaborate with engineering teams to productionize models and build scalable AI pipelines.
• Data Handling : Analyze and process large-scale structured/unstructured financial data for model training.
• Compliance & Ethics : Ensure models are ethical, interpretable, and aligned with regulatory standards.

About the Requirements:

• Education : Master’s or Ph.D. in CS, AI, ML, or related field.
• Experience : 6+ years in applied AI/ML; experience in fraud detection or financial compliance preferred.
• Technical Skills : Proficiency in Python, TensorFlow/PyTorch, NLP, time-series, XAI, and cloud/big data tools.
• Soft Skills : Strong problem-solving, collaboration, and the ability to apply research in real-world settings.

Core Competencies:

• Algorithm and performance optimization
• Compliance and explainable AI
• Cross-functional collaboration

About your Application:

• Apply to this job posting, and email your CV with the job title as the subject line to:

• Seniority level Executive

• Employment type Full-time

• Job function Information Technology and Management
• Industries Financial Services and Technology, Information and Media

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South East Community Development Council, Singapore 5 days ago

Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

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