627 AI Development jobs in Singapore

AI Development Lead

Singapore, Singapore beBeeEngineer

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Senior AI Engineer Job Description

We are seeking a highly skilled Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that enable business growth and internal efficiency.

  • Job Responsibilities:
  • Build AI-driven solutions to enhance support and automation for internal teams and external customers.
  • Design and implement robust API and system architecture for new AI applications.
  • Collaborate closely with cross-functional teams to bring these AI solutions to life.

Requirements:

  • 5+ years in backend software development, with a focus on AI.
  • Experience building internal or customer-facing products with Large Language Models (LLMs).
  • Proficiency in Python programming language.
  • Expertise in building efficient, large-scale software systems.
  • Skill in writing high-quality, maintainable code.
  • Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems.
  • Excellent communication and mentoring abilities.
  • A relevant degree in Computer Science, Mathematics, or related fields.

Nice to Have:

  • Familiarity with MLOps practices and deployment pipelines for AI-driven products.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work with a talented team of engineers and innovators.
  • Chance to shape the future of Finance and AI with us.

How to Apply:

If you are passionate about building AI solutions that directly impact customers, thrive on solving tough technical challenges, and embrace a product-focused mindset, we invite you to apply for this exciting opportunity.

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AI Development Leader

Singapore, Singapore beBeeArtificialintelligence

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Senior AI Engineer Opportunity

We are seeking an experienced Senior AI Engineer to join our cutting-edge Generative AI team. As a key member of this team, you will play a crucial role in designing and developing innovative AI solutions that drive business growth and efficiency.

Your primary focus will be on building AI-driven applications that enable seamless interactions with our internal teams and external customers. You will work closely with cross-functional teams to bring these solutions to life, leveraging your expertise in Python and large-scale software systems.

This is an excellent opportunity for someone who is passionate about AI and wants to shape the future of finance and technology. If you have a strong background in backend software development, experience with LLMs, and proficiency in Python, we encourage you to apply.

Key Responsibilities:

  • Design and develop AI-driven solutions that enhance business efficiency and customer experience.
  • Collaborate with cross-functional teams to implement large-scale AI applications.
  • Develop and maintain high-quality, efficient code that meets scalability and performance requirements.

Requirements:

  • 5+ years of experience in backend software development, with a focus on AI.
  • Strong knowledge of Python and its applications in AI development.
  • Experience with LLMs and their deployment in production environments.
  • Excellent communication and collaboration skills.
  • A relevant degree in Computer Science or a related field.

What We Offer:

  • A dynamic and innovative work environment that fosters growth and learning.
  • Opportunities to work on cutting-edge AI projects that impact business outcomes.
  • A competitive salary and benefits package.

About Us:

We are a forward-thinking organization that values diversity, equity, and inclusion. We strive to create a workplace that is welcoming and respectful to all employees, regardless of their background, culture, or identity.

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AI Development Expert

Singapore, Singapore beBeeDeveloper

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AI Development Expert

As a senior AI developer, you will spearhead the creation and optimization of our AI Web Platform. This pivotal role offers a rare opportunity to join the founding team and collaborate with the development team. You will apply cutting-edge technologies to enhance platform capabilities and improve the functionality and performance of the frontend framework.


About the Role
  • Participate in iterative development of AI for Business scenarios
  • Apply new technologies to enhance platform capabilities
  • Improve the functionality and performance of the frontend framework

Key Responsibilities

Design, develop, and deploy AI-powered web applications

Collaborate with cross-functional teams to identify and prioritize feature development

Ensure high-quality code standards and best practices are followed

Stay up-to-date with emerging technologies and industry trends


Requirements

Expertise in machine learning algorithms and deep learning techniques

Proficiency in programming languages such as Python, JavaScript, or C++

Strong understanding of data structures and software engineering principles

Experience with cloud-based platforms and containerization tools


Benefits

Opportunity to work on cutting-edge technology projects

Chance to collaborate with a talented and diverse team

Competitive salary and benefits package

Professional growth and development opportunities

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AI Development Professional

Singapore, Singapore beBeemobile

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About Us

TikTok is the leading destination for short-form mobile video.

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AI Development Lead

Singapore, Singapore beBeeArtificialintelligence

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Job Opportunity:

The AI Technical Manager is a critical role that combines leadership, technical depth, and cross-functional collaboration to deliver scalable, production-ready AI/ML applications. This position requires a driven and technically hands-on individual to lead the development and deployment of AI solutions across our business.

Main Responsibilities:

  • Oversee a team of AI/ML engineers and data scientists to develop AI-based solutions.
  • Collaborate with product managers, architects, and stakeholders to define and prioritize AI use cases.
  • Guide the design and development of AI/ML applications, including natural language processing, computer vision, predictive analytics, and generative AI.
  • Ensure technical delivery from prototyping to production deployment, guaranteeing performance, scalability, and security.
  • Provide guidance on AI/ML model development, architecture decisions, and technology choices.
  • Manage project timelines, risks, and resources to ensure successful delivery.
  • Stay up-to-date with emerging AI trends, tools, and platforms and integrate them into the technical roadmap.
  • Promote best practices in MLOps, version control, CI/CD, and model monitoring.
  • Bridge the gap between business and technical teams, ensuring alignment on goals and outcomes.

Required Skills and Qualifications:

  • 8+ years of experience in managing applications technical projects with exposure to AI/ML development.
  • Proven track record delivering AI solutions in production environments.
  • Solid understanding of cloud platforms (Azure, AWS, or GCP) and deployment strategies.
  • Experience with AI system integration, APIs, and scalable microservice architectures.
  • Excellent communication, stakeholder management, and leadership skills.

About the Role:

This role is located in Central, Singapore and requires a strong understanding of AI/ML development and deployment. If you are a motivated and technically skilled professional looking for a challenging opportunity, please submit your CV for consideration.

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AI Development Specialist

Singapore, Singapore beBeeMachineLearning

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Job Description

We are currently seeking AI Development Specialists to collaborate with our innovative team and develop cutting-edge algorithms and machine learning models. This is an excellent opportunity for motivated individuals to gain hands-on experience in data preparation, model development, testing, and cross-functional collaboration.


Main Responsibilities:
  • Research and Development: Collaborate with the AI team to conduct research and develop algorithms and models for solving complex problems related to MACHINE LEARNING .
  • Data Preparation: Assist in collecting, cleaning, and preprocessing large datasets for training and testing machine learning models.
  • Model Development: Design and implement machine learning models and algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Testing and Evaluation: Evaluate model performance, conduct experiments, and fine-tune models to achieve optimal results.
  • Documentation: Maintain clear and organized documentation of code, experiments, and findings.
  • Collaboration: Work with cross-functional teams to integrate AI solutions into existing software products.

Necessary Qualifications:
  • Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong programming skills in Python or another relevant programming language.
  • Basic understanding of machine learning concepts and algorithms.
  • Familiarity with machine learning libraries and frameworks is a plus.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork skills.
  • Eagerness to learn and a strong desire to work on AI projects.

Benefits:
  • A comprehensive induction program to help you get up-to-speed quickly.
  • Opportunities to work on diverse AI projects that align with your interests.
  • State-of-the-art technology stack and tools to support your professional growth.
  • Ongoing training and mentorship from experienced professionals.
  • A collaborative and dynamic work environment that encourages creativity and innovation.

This role is perfect for those who are passionate about AI and want to make a meaningful impact in the industry. Apply now to join our team and take the first step towards a fulfilling career in AI!

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3D DEEP LEARNING ENGINEER

Singapore, Singapore Alteredverse

Posted 18 days ago

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Job Description

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

What You’ll Do
  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.
Who You Are
  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.
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About the latest Ai development Jobs in Singapore !

**AI Development Expert Wanted**

Singapore, Singapore beBeeAI

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Job Description

Artificial Intelligence Developer Position

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We are seeking an experienced Artificial Intelligence Developer to join our team. The ideal candidate will have a solid understanding of AI concepts and be able to develop, implement, and maintain AI models.

The successful candidate will have the following skills:

  • Strong programming skills in Python
  • Familiarity with deep learning frameworks such as PyTorch and Hugging Face
  • Experience with model architectures including Transformers and RNNs
  • Familiarity with tools such as Nvidia NIMs and Nvidia Triton

The position offers a comprehensive training program, guarantee deployment with a full-time salary, ongoing support, mentoring, and career growth opportunities.

This is a unique opportunity to launch your AI career and work on impactful AI projects across sectors.

We look for individuals who have strong learning agility, curiosity, grit, and a problem-solving mindset. A genuine interest in AI and its applications is also essential.

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Chief AI Development Officer

Singapore, Singapore beBeeTechnical

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Job Description

Key role for an experienced AI professional in leading the development and deployment of scalable, production-ready AI solutions across the business. This position requires technical depth and cross-functional collaboration to deliver impactful results.

Responsibilities:
  • Lead a team of AI/ML engineers and data scientists to design and develop innovative AI applications.
  • Collaborate with product managers, architects, and stakeholders to define and prioritize AI use cases.
  • Guide the creation of AI/ML systems, including natural language processing, computer vision, predictive analytics, and generative AI.
  • Oversee technical delivery from prototyping to production deployment, ensuring performance, scalability, and security.
  • Provide hands-on guidance on AI/ML model development, architecture decisions, and technology choices.
  • Manage project timelines, risks, and resources to ensure successful delivery.
  • Stay up-to-date with emerging AI trends, tools, and platforms and integrate them into the technical roadmap.
  • Promote best practices in MLOps, version control, CI/CD, and model monitoring.
Requirements:
  • 8+ years of experience in technical management with exposure to AI/ML development projects.
  • Proven track record delivering AI solutions in production environments.
  • Strong understanding of cloud platforms (Azure, AWS, or GCP) and deployment strategies.
  • Experience with AI system integration, APIs, and scalable microservice architectures.
  • Excellent communication, stakeholder management, and leadership skills.

Location: Central Singapore

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Senior Lead AI Development Manager

Singapore, Singapore beBeeArtificialIntelligence

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Lead AI Innovation

We seek a visionary Senior Principal AI Engineer to drive cutting-edge AI and Generative AI solutions across various business domains. This role demands a unique blend of deep research expertise and hands-on engineering skills to drive innovation and deliver impactful AI-driven applications.

This is an exceptional opportunity for an experienced professional to leverage their expertise in designing, developing, and deploying scalable AI models, including large language models (LLMs) and other machine learning algorithms.

Responsibilities:
  • Design and develop end-to-end solutions from data preprocessing to model deployment in production environments.
  • Implement AI/ML solutions using cloud platforms for model training and deployment.
  • Utilize MLOps practices for continuous integration and delivery of AI models.
  • Stay updated on the latest advancements in AI/ML and GenAI.
Requirements:
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Minimum 8 years in AI/ML development, with at least 3 years in a technical leadership role.
  • Proven track record of deploying AI solutions in production environments.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or similar.
  • Experience with cloud services and MLOps tools.
  • Strong problem-solving abilities and analytical thinking.
  • Excellent communication and collaboration skills.
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