419 Neural Networks jobs in Singapore

Job Title: AI Engineering Internship

Description:

• We are seeking an ambitious and detail-oriented intern to join our team of engineers. The successful candidate will have the opportunity to work on cutting-edge projects in the field of artificial intelligence, machine learning, and computer vision.

Key Responsibilities:

• Assist in the development and implementation of AI/ML models for real-world applications.
• Undertake full project life cycles, including research, development, and evaluation.
• Prepare reports and presentations to communicate project results.
• Support in research and development of programs specifically in machine learning (ML) for practical industry applications.
• Collaborate with team members on course evaluations designed by the Training Division.

Requirements:

• Bachelor's degree in Mechanical Engineering or a related field.
• Proficiency in programming languages such as Python, Java, or C++.
• Able to work independently in a dynamic environment with assigned timelines.
• Strong analytical and problem-solving skills, with a willingness to learn.

Benefits:

• Competitive monthly stipend.
• Opportunity to gain hands-on experience in the field of AI and ML.
• Chance to work with different industries and understand the skills-in-demand.
• Platforms to apply broad experience and deepen comprehensive knowledge of engineering principles, theories, and concepts.

Working Hours:

• Monday to Friday, 10:00 - 19:00.

Location:

• 5-minute walk from Jurong East MRT.

Keyword: ArtificialIntelligence

Our organization seeks a highly skilled AI Development Specialist to lead the development of cutting-edge Generative AI models.

• Develop and implement advanced Gen AI models to drive business success
• Lead the integration of LLMs and LangChain into operational processes, utilizing Python and other data manipulation languages effectively
• Transform business requirements into effective Gen AI solution designs that meet strategic objectives
• Collaborate with stakeholders, presenting findings to non-technical audiences and providing strategic recommendations

Required Skills:

• Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or related field
• Proficiency in Python, with experience in Generative AI, specifically Large Language Models (LLM) and Langchain
• Strong knowledge of machine learning, data mining, predictive modeling, and Agile methodologies

Nice-to-Have Skills:

• Knowledge of Agile principles

• Develop architectural designs and long-term technical roadmaps for the AI computing platform, define standards, and best practices for building and operating robust AI infrastructure.
• Evaluate, prototype, and recommend new technologies and tools to maintain our platform's position at the forefront of innovation.
• Mentor other engineers on the team, providing guidance on complex technical challenges and promoting a culture of engineering excellence.
• Drive technical execution of large-scale platform projects, ensuring alignment with business objectives and product roadmaps.
• Collaborate with cross-functional teams, including product management, security, and solution architects.

Job Title:

About the Role

We are seeking an experienced AI Engineering Leader to drive the design, development, and deployment of enterprise-grade AI and GenAI solutions. This role will lead a small but growing engineering team, collaborate with data scientists, product managers, and business stakeholders, and be responsible for scaling AI capabilities across the organization.

Key Responsibilities

• Lead the end-to-end development and deployment of AI/GenAI solutions, from proof-of-concept to enterprise-scale implementation.
• Build and manage a high-performing AI engineering team, providing technical leadership, mentorship, and best practices.
• Collaborate with business units to identify AI/ML opportunities and translate them into scalable technical solutions.
• Design system architecture to ensure solutions integrate seamlessly with existing enterprise IT and data infrastructure.
• Oversee model lifecycle management, including training, deployment, monitoring, and retraining.
• Drive adoption and change management by ensuring usability, performance, and business impact of AI solutions.
• Stay updated with emerging AI/ML and GenAI trends, tools, and frameworks, and apply them where relevant.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in software engineering, with at least 3+ years in AI/ML solution development.
• Proven experience deploying AI/ML or GenAI solutions at enterprise scale (not just PoCs).
• Strong hands-on experience with Python, TensorFlow, PyTorch, or other ML frameworks.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices.
• Solid understanding of system design, APIs, and enterprise integration.
• Strong stakeholder management and ability to work in complex, cross-functional environments.
• Prior team leadership experience preferred.

Nice to Have

• Experience in large-scale enterprise environments.
• Exposure to GenAI applications (LLMs, multimodal models, prompt engineering).
• Familiarity with data governance, security, and compliance in AI.

Tell Employers What Skills You Have

Our client is a leading technology company that specializes in providing innovative digital and security solutions to its esteemed clients. They are well-known for their dedication to quality delivery standards supporting global projects.

The company has an international presence in over 100 countries worldwide and is looking for an AI Team Lead to join their team and contribute to their ongoing success.

This role involves leading, managing, and overseeing a team of AI Engineers. Guiding them on technical knowledge, project management, and execution, problem-solving, and establishing communications between internal and external stakeholders.

The job also requires working with relevant stakeholders in managing and seeing through projects from start to finish.

Key responsibilities include designing, developing, and deploying machine learning models and algorithms to solve complex business problems. Monitoring and maintaining AI systems to ensure optimal performance, reliability, and scalability.

Collecting, pre-processing, and analyzing large datasets to train and validate AI models. Working closely with cross-functional teams to integrate AI solutions into existing systems.

Staying updated with the latest advancements in AI and machine learning, and implementing best practices to enhance our AI capabilities.

• Requirements:
• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• At least 4 - 5 years' work experience with AI/ML projects
• Experience leading a team of at least 2 - 3 AI Engineers
• Proficiency in programming languages such as Python, R, or Java
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

If you are interested in this opportunity, please send your resume via WhatsApp.

Candidates will be contacted if shortlisted.

We are seeking an experienced AI developer to join our team.

• Translate business needs into intelligent solutions using AI technology.
• Design and implement scalable, production-ready AI architectures.
• Integrate large language models with APIs, databases, and internal systems.
• Optimize performance, latency, and reliability of AI workflows.
• Ensure seamless integration of AI applications with Microsoft 365 and Power Platform.

• 3 years of experience in Python programming.
• Knowledge of machine learning frameworks (PyTorch, Hugging Face, or scikit-learn).
• Familiarity with the Microsoft Azure AI stack.
• Ability to communicate effectively with both technical and non-technical stakeholders.

• Opportunity to work on cutting-edge AI projects.
• Collaborative and dynamic work environment.
• Professional development and growth opportunities.

• Competitive compensation package.
• Comprehensive benefits program.
• Generous paid time off.

Job Title: AI Engineering Internship

Description:

• We are seeking an ambitious and detail-oriented intern to join our team of engineers. The successful candidate will have the opportunity to work on cutting-edge projects in the field of artificial intelligence, machine learning, and computer vision.

Key Responsibilities:

• Assist in the development and implementation of AI/ML models for real-world applications.
• Undertake full project life cycles, including research, development, and evaluation.
• Prepare reports and presentations to communicate project results.
• Support in research and development of programs specifically in machine learning (ML) for practical industry applications.
• Collaborate with team members on course evaluations designed by the Training Division.

Requirements:

• Bachelor's degree in Mechanical Engineering or a related field.
• Proficiency in programming languages such as Python, Java, or C++.
• Able to work independently in a dynamic environment with assigned timelines.
• Strong analytical and problem-solving skills, with a willingness to learn.

Benefits:

• Competitive monthly stipend.
• Opportunity to gain hands-on experience in the field of AI and ML.
• Chance to work with different industries and understand the skills-in-demand.
• Platforms to apply broad experience and deepen comprehensive knowledge of engineering principles, theories, and concepts.

Working Hours:

• Monday to Friday, 10:00 - 19:00.

Location:

• 5-minute walk from Jurong East MRT.

Keyword: ArtificialIntelligence

The Centre for Technology, Robotics, Artificial Intelligence and the Law (TRAIL) is a research centre at the National University of Singapore. Its focus is to inform the debate on the legal, ethical, policy, philosophical and regulatory questions associated with the use and development of information technology, artificial intelligence, data analytics and robotics.

We are seeking a highly motivated and experienced researcher in artificial intelligence to join our team. The ideal candidate will have a strong background in machine learning, artificial intelligence, and computational linguistics.

• Conduct research for and collaborate on funded research projects involving foundational Large Language Models (LLMs), including identifying, evaluating, and developing relevant technologies and resources.
• Collect, normalise, and create datasets, as well as train LLMs.
• Analyse and interpret LLM results, evaluate model performance and recommend methods for improvement.
• Collaborate with legal and computing researchers on interdisciplinary projects.

• Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence or Computational Linguistics, with a strong knowledge of statistics, machine learning and optimisation.
• Good to excellent command of English (oral and written), with additional language proficiency being an advantage.
• Familiarity with modern LLM architectures (transformer encoder, decoder and encoder-decoder models).
• Experience handling large datasets, with strong structured and unstructured database management skills.
• Knowledge of LLM evaluation methods, metrics, inference processes and deployment setups.
• Proficiency in Python, with additional skills in Regex, C++ and JavaScript a bonus.
• Proficiency with Python-based neural network frameworks, especially PyTorch, and training LLMs on parallelised Nvidia architectures.
• Strong interpersonal and communication skills, with the ability to work collaboratively in a team.
• Self-motivated, organised, detail-oriented and able to work independently to meet deadlines.

This position requires a strong background in machine learning, artificial intelligence, and computational linguistics. The ideal candidate will have experience working with LLMs, programming languages such as Python, and familiarity with neural network frameworks like PyTorch. Strong communication and collaboration skills are also essential for success in this role.

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.