558 Algorithm Training jobs in Singapore

Algorithm Development And Firmware Implementation Engineer
Join to apply for the
Algorithm Development And Firmware Implementation Engineer
role at
DSO National Laboratories .
DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the mission to develop technological solutions to enhance Singapore's national security. At DSO, you will have the opportunity to make a significant impact and shape the future of defence across air, land, sea, space, and cyberspace.
The Electronic Systems Division focuses on electronic warfare systems using radio frequency and microelectronics technologies to achieve electromagnetic superiority.
We value our people highly. You will have the chance to develop your career either as a technical expert or a team leader, supported by career dialogues, training, and development programs. Competitive remuneration and scholarship opportunities are also available.
Responsibilities
Design and develop system algorithms
Conceptualize, design, and implement signal and data processing algorithms in firmware
Collaborate with firmware, RF, digital, and software engineers to integrate and test algorithms in labs and platforms
Job Requirements
Degree or Master in Electrical and Computer Engineering or Electrical and Electronic Engineering
Experience with MATLAB and Python programming
Knowledge of digital signal processing, machine learning algorithms, and firmware implementation
Strong analytical skills
Additional Information
Seniority level: Entry level
Employment type: Full-time
Job function: Other
Industry: Defense and Space Manufacturing
This job posting is active. Referrals can increase your chances of interviewing at DSO National Laboratories by 2x.
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Key Learning Objectives:

• Understand multimodal AI fundamentals
• Learn data preprocessing for multiple modalities
• Apply machine learning & deep learning concepts
• Develop model evaluation skills
• Understand how algorithm development fits into product pipelines

Intern’s Responsibilities:

• Assist in data handling
• Support algorithm development
• Run experiments & document results
• Review relevant literature, summarize findings and propose ideas for improvement
• Ensure code and data management standards

Training and Development:

• Software tools: git for version control
• ML/DL framework: pytorch/tensorflow
• Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills
• Involvement in new stress algo development

Benefits:

• Allowance Provided – Interns will receive a monthly allowance to support their contributions.
• Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
• Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
• Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
• Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high caliber colleagues.

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training .
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems .
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies .
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch , particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows , Linux , mobile operating systems (iOS, Android) and embedded systems .
• Strong programming skills in Python , Java and C++ , with experience in GPU-accelerated computing using CUDA and TensorRT .
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson , Google Coral , and ARM Cortex .
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship .

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Job Summary:

We are seeking an AI Engineer to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities:

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

Requirements:

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.
• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship.

CFB Bots Pte Ltd is a leading technology company specializing in automation and AI. We are at the forefront of innovation, leveraging cutting-edge AI/ML technologies to develop intelligent solutions that transform businesses.

Our dynamic team is passionate about pushing boundaries and creating impactful solutions that drive positive change. We are committed to fostering a collaborative and inclusive work environment where interns can gain valuable experience and make a real difference.

About the Role

As an AI/ML Intern, you will be part of a dynamic R&D team that explores and implements state-of-the-art AI/ML solutions to solve complex problems. This internship will provide you with hands-on experience in the development, implementation, and evaluation of AI/ML models while working on real-world applications. Specifically, you will:

• Research, develop and implement appropriate AI/ML models and algorithms for various projects
• Analyse and implement strategies for data collection and extraction, and pre-processing
• Perform rigorous testing and validation of AI/ML models to ensure accuracy, reliability, and robustness
• Assist in optimizing and fine-tuning AI/ML models to improve performance and efficiency
• Document and communicate the technical details, progress, and results to team members and stakeholders

Requirements

• Possess or currently pursuing a Degree in Information Technology/Computer Science or relevant discipline
• Proficient in Python programming
• Understanding of machine learning, large language models, computer vision, natural language processing, etc
• Experience with popular AI/ML frameworks and libraries
• Self-motivated and results-oriented individual with an inquisitive mindset
• Able to work independently in a dynamic environment with assigned timelines

Interested candidates must submit your portfolio as part of the job application. In your application, please also indicate the name of the person that you most look up to.

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 Artificial Intelligence (Computer Vision - Algorithms) 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 an Artificial Intelligence (Computer Vision - Algorithms) Intern, you will:

• Implement Computer Vision pipelines using OpenCV and Deep Learning (CV) models
• Work with our AI Full-time engineers to define business challenges that require the use of various ML/DNN & Computer Vision Algorithm techniques
• Improve existing codebase by adding Computer Vision features and debugging errors

Minimum Requirements

• Completed at least 1 year of studies as part of a Diploma, Bachelor or Master in one of the following subjects: IT | Engineering | Computer Science | Information Systems | Statistics | Mathematics
• At least 3 months experience in Python programming
• Basic understanding of Computer Vision techniques. (I.e. Experience with OpenCV)
• Completed at least 1 Uni/Online hands-on course in Machine Learning.
• Experience with one or more ML tools such as Tensorflow, PyTorch etc.
• Good to have: Docker Experience | C++

Soft Skills / Commitment:

• Available for at least a 6-month internship
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• Possess a positive learning attitude
• Willingness to travel to customer site to support project needs
• Ability to communicate and collaborate with other team members / external teams
• Deliver project requirements within specified timelines

Why join Cynapse?

• Unique opportunity to work with a talented global team on cutting-edge technologies
• Exciting work environment with flexible hours

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

Join to apply for the Artificial Intelligence Engineer role at Twine .

An AI and machine learning expert with a focus on image recognition is required to develop an application for extracting vertical traffic signs from mobile laser scanning point clouds and geotagged GoPro videos collected along highways. The project involves processing high-resolution 3D point clouds (LAS format), GoPro 2.7K video footage, and highway axis data to accurately identify and locate traffic signs. Deliverables include the precise coordinates (x, y) of each traffic sign, extracted images of the signs, and a detailed attribute table covering sign type, dimensions derived from the point cloud, and visible panel inscriptions from the images. Sample input datasets and expected outputs are available to guide development. This is a complex, research-driven project with potential for follow-up work.

Requirements

• Proven expertise in AI and machine learning, particularly in computer vision and image recognition
• Experience working with 3D point cloud data (LAS format) and geospatial data processing
• Ability to integrate video data (e.g., GoPro footage) with point cloud datasets for feature extraction
• Skills in developing algorithms for object detection, classification, and attribute extraction
• Familiarity with geospatial coordinate systems and precise mapping techniques
• Proficiency in Python and relevant libraries (TensorFlow, PyTorch, OpenCV, PCL, etc.)
• Strong problem-solving skills and ability to deliver accurate, production-ready solutions
• Availability to complete the project as a single assignment, with openness to potential follow-up work

About Twine

Twine is a leading marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise.

Our Mission

Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.

• Mid-Senior level

• Contract

• Technology, Information and Media

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Get notified about new Artificial Intelligence Engineer jobs in Singapore .

Direct message the job poster from Capgemini

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Position Overview: We are seeking an experienced AI Architect with a strong background in Machine Learning to join our team. The ideal candidate will have over 10 years of experience in AI/ML model development and deployment, along with deep dive analysis skills. This role also requires at least 3 years of experience as a Solution Architect.

Key Responsibilities: -

• Develop and deploy AI/ML models with a focus on deep dive analysis.
• Implement end-to-end data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.
• Demonstrate expertise in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Conduct model validation, explainability, monitoring, and management (AI Glass Box).
• Utilize latent semantic analysis, document similarity models, document classification, text analytics, and language models.
• Develop recommender systems using content-based and collaborative filtering techniques.
• Apply computer vision and image analytics, including neural networks, convolutional neural networks, and recurrent neural networks.
• Perform statistical modeling and predictive analytics.
• Conceptualize and implement Generative AI solutions.

Required Skills and Experience: -

• Over 10 years of experience in AI/ML model development and deployment.
• At least 3 years of experience as a Solution Architect.
• Proficiency in implementing data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.
• Strong competencies in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Experience with model validation, explainability, monitoring, and management (AI Glass Box).
• Knowledge of latent semantic analysis, document similarity models, document classification, text analytics, and language models.
• Expertise in recommender systems, computer vision, and image analytics.
• Familiarity with neural networks, convolutional neural networks, and recurrent neural networks.
• Experience in statistical modeling and predictive analytics.
• Proven ability to conceptualize and implement Generative AI solutions.

Tools & Technologies: -

• Python
• NLTK
• SQL
• PySpark
• Hive
• ADO skills are a plus

Why Capgemini is unique

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. Through our New Normal campaign, we are looking to embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people.

Get the future you want

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is. Capgemini.

Get The Future You Want

We look forward to welcoming a highly skilled and motivated Architect to our team. If you have a passion for machine learning and a track record of delivering innovative solutions, we encourage you to apply.

• Seniority level Director

• Employment type Full-time

• Job function Consulting, Information Technology, and Engineering
• Industries Information Services, Software Development, and IT Services and IT Consulting

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

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Join to apply for the Artificial Intelligence Architect role at AECOM

We are seeking a visionary and technically accomplished AI Architect to join our Digital team and lead the strategy, design, and delivery of advanced AI-driven solutions.

This senior role offers a unique opportunity for a passionate technologist to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment. Your work will drive innovation in automation and optimisation across infrastructure systems and building design.

As a core team member, you will shape the integration of AI into engineering workflows, collaborating across disciplines to deliver scalable, reliable, and intuitive solutions. Join us in transforming infrastructure design and delivery by leveraging cutting-edge AI technologies to address pressing urban challenges.

Responsibilities:

1. Design robust, scalable AI/ML architectures, including model pipelines, data ingestion, and deployment frameworks tailored to infrastructure projects.
2. Define and drive the AI roadmap for infrastructure planning and design, aligning with AECOM’s digital delivery goals and client needs.
3. Guide the development and fine-tuning of AI models to ensure compliance with regulatory standards and engineering principles.
4. Develop scalable scripts and model training pipelines using Python.
5. Lead AI tool integration with existing engineering software (e.g., ArcGIS, AutoCAD Civil 3D, Revit, Rhino, FME), ensuring seamless interoperability.
6. Mentor AI engineers and collaborate with civil engineers, utility specialists, and GIS/BIM experts to bridge domain knowledge with AI capabilities.
7. Establish best practices for model validation, versioning, explainability, and compliance with standards.
8. Evaluate and implement emerging AI technologies (e.g., LLMs, generative design, reinforcement learning) applicable to geospatial and infrastructure challenges.

Qualifications:

1. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, AI, or related engineering fields. Advanced degrees preferred.
2. 8+ years of AI/ML development experience, including at least 3 years in an architectural or leadership role.
3. Proven experience applying AI to real-world problems, especially in spatial/geometric analysis, geospatial data, or engineering.
4. Proficiency in Python and frameworks like PyTorch, TensorFlow, scikit-learn.
5. Strong understanding of data architecture, MLOps pipelines, cloud platforms (Azure/GCP/AWS), and model governance.
6. Excellent communication skills, capable of engaging both technical and non-technical stakeholders.

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industry: Civil Engineering

Note: This job posting is active. Apply now to join AECOM’s innovative team in shaping the future of infrastructure through AI.