208 Neural Networks jobs in Singapore

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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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
  
  

Qualifications

• 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).
  
  

Preferred Qualifications

• 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.
  
  

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Entertainment Providers

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About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers. You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will :

• Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications :

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiarity with machine learning concepts, including deep learning techniques.
• Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration :

• Available for at least a 6-month internship.
• Able to work at least 4 days a week and preferably full-time.
• We are flexible with start and end dates, and can accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note : Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working 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:

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.

Requirements:

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.

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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.

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(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.

To apply, kindly send your updated resume to

We are regret that only shortlisted candidate will be notified.

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

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EA Licence No.: 07C5771

EA Personnel Reg. No.: R24122504

EA Personnel Name: Edmund Ting Chao Siong

Description

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

This is an exciting opportunity for an AI Engineer to be at the forefront of AI innovation. You will design, build, and optimize real-time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting-edge research in computer vision, large language models (LLMs), and real-time action systems.

This position is pivotal in bridging state-of-the-art research with practical deployment, directly supporting AISG's mission to advance applied AI through impactful research and scalable product development. You will contribute to strengthening collaborations between AISG's applied research teams and our industry partners.

Duties and Responsibilities

• Architect, implement, and refine modular AI pipelines that support agent perception, planning, and action within real-time 3D environments.
• Develop and optimize real-time perception systems leveraging advanced computer vision models.
• Create and experiment with novel vision-language-action models for autonomous gameplay, drawing inspiration from robotics.
• Conduct research into multi-agent systems and cooperative/competitive behaviors within simulated environments.
• Integrate AI models into leading game engines (e.g., Unity, Unreal Engine) for interactive training, evaluation, and deployment.
• Design innovative reward functions and robust evaluation metrics for reinforcement learning agents.
• Curate and maintain high-quality datasets for supervised and self-supervised learning paradigms.
• Build and scale cloud-ready inference pipelines utilizing containerization (Docker, Kubernetes) and MLOps best practices.
• Perform rigorous latency optimization and benchmarking to ensure real-time system performance.
• Mentor junior team members and foster a collaborative development environment through constructive code reviews.
• Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate.
• Actively participate in cross-functional planning, project retrospectives, and knowledge-sharing initiatives

Qualifications

• A Master's or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field.
• Strong programming proficiency in Python and C++.
• Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
• Hands-on experience with simulation environments such as Unity ML-Agents, NVIDIA Isaac Sim, Mujoco, or similar.
• Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning.
• Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems.
• Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes).
• Excellent communication and collaboration skills, with an ability to articulate complex technical concepts to diverse audiences.
• A genuine passion for developing AI agents for 3D environments (e.g., gaming, simulation) and a strong alignment with AISG's mission.

More Information Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 29209

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Industry

Other

Category

Engineering

Sub Category

Design & Development

Description

Company description: The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore Job description: Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts. This is an exciting opportunity for an AI Engineer to be at the forefront of AI innovation. You will design, build, and optimize real-time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting-edge research in computer vision, large language models (LLMs), and real-time action systems. This position is pivotal in bridging state-of-the-art research with practical deployment, directly supporting AISG's mission to advance applied AI through impactful research and scalable product development. You will contribute to strengthening collaborations between AISG's applied research teams and our industry partners. Duties and Responsibilities Architect, implement, and refine modular AI pipelines that support agent perception, planning, and action within real-time 3D environments. Develop and optimize real-time perception systems leveraging advanced computer vision models. Create and experiment with novel vision-language-action models for autonomous gameplay, drawing inspiration from robotics. Conduct research into multi-agent systems and cooperative/competitive behaviors within simulated environments. Integrate AI models into leading game engines (e.g., Unity, Unreal Engine) for interactive training, evaluation, and deployment. Design innovative reward functions and robust evaluation metrics for reinforcement learning agents. Curate and maintain high-quality datasets for supervised and self-supervised learning paradigms. Build and scale cloud-ready inference pipelines utilizing containerization (Docker, Kubernetes) and MLOps best practices. Perform rigorous latency optimization and benchmarking to ensure real-time system performance. Mentor junior team members and foster a collaborative development environment through constructive code reviews. Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate. Actively participate in cross-functional planning, project retrospectives, and knowledge-sharing initiatives Qualifications A Master's or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field. Strong programming proficiency in Python and C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with simulation environments such as Unity ML-Agents, NVIDIA Isaac Sim, Mujoco, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes). Excellent communication and collaboration skills, with an ability to articulate complex technical concepts to diverse audiences. A genuine passion for developing AI agents for 3D environments (e.g., gaming, simulation) and a strong alignment with AISG's mission. More Information

Location: Kent Ridge Campus Organization: Office of the Deputy President(Res&Tech) Department : AI Singapore Employee Referral Eligible: No Job requisition ID : 29209 #J-18808-Ljbffr Industry

Other Category

Engineering Sub Category

Design & Development

As a Senior Software Engineer in our AI Product Team, you will play a critical role in transforming how analysts process and analyse information. You will work at the forefront of applied AI, building intelligent systems that enhance sense-making, information discovery, and decision-support for national security.

In this role, you will design and develop AI-driven applications, such as retrieval-augmented generation (RAG) systems and intelligent automation workflows, as well as the supporting web systems and data processing pipelines that power these capabilities. You will contribute across the full technology stack, from backend services and data retrieval layers to frontend interfaces that bring AI functionalities to users. Our team focuses on applying and integrating AI technologies rather than model training or fine-tuning, emphasizing innovation, rapid experimentation, and real-world impact.

Responsibilities

• Design, develop and deploy scalable AI-enabled digital products integrating retrieval, generation, and reasoning capabilities.
• Scout, evaluate, and integrate emerging AI technologies to drive innovation.
• Collaborate with analysts, AI engineers, data scientists, designers, and product managers to co-create solutions grounded in organisational needs.
• Prototype rapidly and apply engineering best practices to experimental AI applications.
• Shape technical strategy for sustainable and intelligent AI systems.
• Uphold high software engineering standards, ensuring systems are robust, secure, and interoperable.

Requirements (Minimum Qualifications)

• Good degree in Engineering, Computer Science, or related fields, with at least 3 years of relevant software development experience.
• Strong programming skills in Python, Java, or similar languages, with proficiency in building backend services.
• Experience integrating AI models, APIs, or frameworks into applications (e.g., Huggingface, LangChain, OpenAI API, open-source AI models).
• Proficiency in frontend development with React or similar frameworks to build intuitive user interfaces for AI-enabled applications.
• Solid understanding of system architecture design, software engineering best practices, and scalable service development.
• Familiarity with data storage and retrieval technologies like relational databases, vector stores, or search engines.
• Hands-on experience with build and deployment tools like Git CI/CD, Docker, and cloud environments.
• Good analytical and problem-solving skills, with the ability to translate user needs into technical solutions.
• Strong team player who collaborates across disciplines to achieve product goals.

Nice to haves

• Interest or experience in rapid prototyping and AI-driven product innovation.
• Experience with RAG systems, semantic search, or knowledge graphs.
• Familiarity with AI evaluation practices and techniques for improving AI system performance.
• Leadership experience in guiding technical teams or driving AI technology adoption.
• Knowledge of agile methodologies such as Scrum.
• Experience working with Elasticsearch, Neo4j, or similar search and graph databases.

Why join us?

• You are, and can continue to be, one of the sharpest engineering minds that builds, innovates, and translates technologies into future-proofed digital solutions with precision and agility.
• You will have plenty of opportunities to deepen your domain expertise while developing adjacent areas of interest and competencies as part of this diverse community
• The products you lead to develop, together with us, will lay one of the core foundations for the next-generation digital products for our business users.
• You, too, believe in harnessing data and best-in-class technologies to deliver simple, yet sophisticated products that power our analysts and leaders for the long run.

As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.

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