2,839 AI Software jobs in Singapore

Join us to apply for the AI Senior Software Engineer role at BJAK .

About Us
At Bjak, we are committed to making financial services more accessible, affordable, and sustainable across ASEAN. Headquartered in Malaysia, Bjak is the largest insurance platform in Southeast Asia, helping millions find the best value and highest coverage insurance policies through our platform, Bjak.com.
We leverage cutting-edge technology, including Custom APIs, trading systems, and data science, to simplify financial services that were once complex and inaccessible. Our expertise in navigating complex regulations has enabled us to develop innovative products, such as offering investment-linked life and health insurance online with instant agent support.
The role is open to Singaporean citizens and Permanent Residents (PRs) based in Singapore , who are willing to relocate to Malaysia or work remotely from Singapore while collaborating closely with our Malaysia-based team.

Key Responsibilities

• Collaborate with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines.
• Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
• Manage the end-to-end AI model lifecycle, including data collection, pre-processing, model training, evaluation, and deployment.
• Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
• Optimize AI models for scalability, efficiency, and security.
• Utilize data-driven insights and advanced analytics for continuous improvements.
• Conduct research to explore and integrate innovative AI techniques.

Requirements

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist.
• Proficiency in AI and machine learning frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
• Expertise in data pre-processing, feature engineering, and model evaluation.
• Strong problem-solving and analytical thinking skills.
• Effective communication and teamwork abilities.
• Must be a Singaporean citizen or Permanent Resident (PR).
• Must be willing to relocate to Malaysia or work remotely from Singapore.

Benefits

• Remote/hybrid work arrangement
• Open to remote work from Singapore for suitable candidates
• Work closely with an international team based in Malaysia
• Dynamic and fast-paced work environment
• Attractive remuneration and performance incentives
• Strong learning and career growth opportunities
• Competitive salary

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development

You will be part of a team delivering software solutions which enable the organization's digitalization and innovation strategies. You will also be responsible for the team's projects to identify and explore suitable technologies, methodologies and solutions in application development

• Attractive salary package - basic up to $10,000 + bonuses (average 16-17 months package)
• Exciting opportunity to work with a team of professionals to deliver high quality application
• Hybrid work arrangement (work location: central area)

Responsibilities:

• Build and maintain machine learning models to solve classification, regression, clustering, NLP, or recommendation problems.
• Translate business challenges into technical requirements and develop AI solutions aligned with enterprise standards.
• Integrate models into enterprise platforms and work with DevOps engineers to ensure smooth deployment using tools such as Docker, Kubernetes, or CI/CD pipelines.
• Work cross-functionally with business analysts, risk/compliance teams, and IT to ensure AI solutions meet functional, regulatory, and ethical standards.

Requirements:

• Strong in frontend development like HTML/CSS, JavaScript, ReactJS, Typescript
• Familiar with server-side development like NodeJS, Python
• Familiar with client-server communication like HTTP, RESTAPI
• Familiar with data management, SQL and NoSQL databases
• Experience with application design and architecture

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Liew Chien Hui (Vivian) - R2090138

ScienTec Consulting Pte Ltd – 11C5781

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 Software Engineer (Computer Vision) to join our AI Product group that delivers challenging, enterprise-scale Video Content Analytics solutions to global customers.

You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.

Responsibilities:

• Develop advanced video/image analytics technologies using both Computer Vision Algorithms and advanced ML/DNN
• Research technologies and concepts in the areas of Machine Learning, Computer Vision and Edge AI
• Participate in system design activities, prototyping and testing
• Follow and contribute to software development best practices

Minimum Qualifications:

• At least a Bachelor's Degree in Data Science, Computer Science, Engineering or similar
• Some experience in developing Computer Vision applications, i.e. object detection & classification, object segmentation, computer vision algorithms, ML models optimization, etc.
• Some Experience with ML/DNN in at least one of the following frameworks: Tensorflow, Caffé, Keras, PyTorch
• Experience with C++ would be highly appreciated

Personal Competencies:

• Innovative, motivated and a quick learner
• Ability to work well in a small team and take end-to-end ownership of problems and their resolution
• Attention to detail, curiosity, and passion for technology

Benefits:

• Competitive base salary and a generous stock option package
• 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 that are only based in Singapore

Role Definition: This is a specialized role for an AI Software Engineers design, build, and deploy scalable AI models and systems. They work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions.

Skills:

Proficient:

• Languages/Framework: Fast API, Azure UI Search API (React)

• Cloud: Azure Cloud Basics (Azure DevOps)

• Gitlab: Gitlab Pipeline

• Ansible and REX: Rex Deployment

• Data Science: Prompt Engineering + Modern Testing

• Data pipeline development

• Understanding of AI/ML algorithms and their applications

• MLOps frameworks

• Knowledge of cloud platforms (Azure ML especially)

• Model deployment process

o Data pipeline monitoring

Expert: (in addition to proficient skills)

o Languages/Framework: Azure Open AI

o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search

o Databases and ETL: Azure Storage Account, Postgresql, Cosmos

o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform)

o Expertise in data preprocessing, feature engineering, and model evaluation

o Understanding of software engineering principles (version control, CI/CD, containerization)

o Familiarity with distributed computing and big data tools (Spark, Hadoop)

o Ability to optimize models for performance and scalability

Education: Bachelors/Masters in Software engineering or AI

Experience Level : 5+years

Join us to apply for the
AI Senior Software Engineer
role at
BJAK .
About Us
At Bjak, we are committed to making financial services more accessible, affordable, and sustainable across ASEAN. Headquartered in Malaysia, Bjak is the largest insurance platform in Southeast Asia, helping millions find the best value and highest coverage insurance policies through our platform, Bjak.com.
We leverage cutting-edge technology, including Custom APIs, trading systems, and data science, to simplify financial services that were once complex and inaccessible. Our expertise in navigating complex regulations has enabled us to develop innovative products, such as offering investment-linked life and health insurance online with instant agent support.
The role is open to
Singaporean citizens and Permanent Residents (PRs) based in Singapore , who are willing to
relocate to Malaysia
or work
remotely from Singapore
while collaborating closely with our Malaysia-based team.
Key Responsibilities
Collaborate with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Manage the end-to-end AI model lifecycle, including data collection, pre-processing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
Optimize AI models for scalability, efficiency, and security.
Utilize data-driven insights and advanced analytics for continuous improvements.
Conduct research to explore and integrate innovative AI techniques.
Requirements
Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist.
Proficiency in AI and machine learning frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
Expertise in data pre-processing, feature engineering, and model evaluation.
Strong problem-solving and analytical thinking skills.
Effective communication and teamwork abilities.
Must be a Singaporean citizen or Permanent Resident (PR).
Must be willing to relocate to Malaysia or work remotely from Singapore.
Benefits
Remote/hybrid work arrangement
Open to remote work from Singapore for suitable candidates
Work closely with an international team based in Malaysia
Dynamic and fast-paced work environment
Attractive remuneration and performance incentives
Strong learning and career growth opportunities
Competitive salary
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr

Founded in 2014 with HQ in Singapore, Hiverlab provides unique Spatial Intelligence products and solutions to help organizations intelligently organize / present information and automate processes, making emerging tech accessible and secure for a transparent and sustainable world.
We strive to democratise the interoperability of emerging technologies such as XR, IoTs, Cloud Computing, 5G, Data Analytics, AI / Machine Learning, Robotics & Automation, etc., all of which collectively enabling Spatial Digital Twins and Spatial Computing.
To date, we serve hundreds of enterprise customers in 20+ countries, from a few sectors such as logistics, manufacturing, built environment, medical health, smart city and critical infrastructure, etc. We also constantly collaborate with the public sector and academia - for example, we have been a sponsor to NUS STePS since 2017.
For more information, please visit:
Key Responsibilities
Design, develop, and deploy full-stack applications that integrate AI/ML models.
Collaborate with other teams (e.g. Business Development, 3D Engineering, etc.) to productionize and monitor AI/ML models.
Build scalable backend APIs and services to support AI features.
Implement data pipelines, ETL processes, and model inference infrastructure.
Deploy, monitor, and maintain infrastructure and application resources across cloud, on-premise, or hybrid environments, with automation wherever possible.
Ensure code quality through testing, documentation, and adherence to best practices. Write clean, optimized, and well-documented code with a focus on performance, reliability, scalability, and reusability across multiple projects.
Participate in architecture design, code reviews, and project planning.
Mentor interns and support their technical growth.
Required / Preferred Qualifications & Skills
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (e.g., Mathematics, Physics) with strong programming skills.
Proficiency in backend technologies such as FastAPI, Flask, or Node.js.
Familiarity with AI/ML tools and frameworks such as PyTorch, Hugging Face, or LangChain.
Strong understanding of software architecture, design patterns, and databases (SQL/NoSQL).
Hands-on experience deploying ML models in production using tools such as Docker, Kubernetes, and REST APIs.
Familiarity with cloud platforms, with a preference for Azure, followed by AWS.
Self-motivated, proactive, restorative, and a strong team player with a high sense of responsibility and attention to detail.
Strong communication skills and strategic thinking abilities. Eagerness to learn new knowledge.
#J-18808-Ljbffr

Role Definition: This is a specialized role for an AI Software Engineers design, build, and deploy scalable AI models and systems. They work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions.

Bachelors/Masters in Software engineering or AI

Min : 5yrs ,

Max : 10yrs

Skills:

Proficient:

• Languages/Framework: Fast API, Azure UI Search API (React)

• Cloud: Azure Cloud Basics (Azure DevOps)

• Gitlab: Gitlab Pipeline

• Ansible and REX: Rex Deployment

• Data Science: Prompt Engineering + Modern Testing

• Data pipeline development

• Understanding of AI/ML algorithms and their applications

• MLOps frameworks

• Knowledge of cloud platforms (Azure ML especially)

• Model deployment process

o Data pipeline monitoring

Expert: (in addition to proficient skills)

o Languages/Framework: Azure Open AI

o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search

o Databases and ETL: Azure Storage Account, Postgresql, Cosmos

o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform)

o Expertise in data preprocessing, feature engineering, and model evaluation

o Understanding of software engineering principles (version control, CI/CD, containerization)

o Familiarity with distributed computing and big data tools (Spark, Hadoop)

o Ability to optimize models for performance and scalability

o Experience with Azure AI Search

Role Definition: This is a specialized role for an AI Software Engineers design, build, and deploy scalable AI models and systems. They work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions.

Skills:

Proficient:

• Languages/Framework: Fast API, Azure UI Search API (React)

• Cloud: Azure Cloud Basics (Azure DevOps)

• Gitlab: Gitlab Pipeline

• Ansible and REX: Rex Deployment

• Data Science: Prompt Engineering + Modern Testing

• Data pipeline development

• Understanding of AI/ML algorithms and their applications

• MLOps frameworks

• Knowledge of cloud platforms (Azure ML especially)

• Model deployment process

o Data pipeline monitoring

Expert: (in addition to proficient skills)

o Languages/Framework: Azure Open AI

o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search

o Databases and ETL: Azure Storage Account, Postgresql, Cosmos

o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform)

o Expertise in data preprocessing, feature engineering, and model evaluation

o Understanding of software engineering principles (version control, CI/CD, containerization)

o Familiarity with distributed computing and big data tools (Spark, Hadoop)

o Ability to optimize models for performance and scalability

Education: Bachelors/Masters in Software engineering or AI

Experience Level : 5+years

We are seeking a skilled professional to join our team in developing cutting-edge AI-assisted tools for software engineering. This role requires a unique blend of technical expertise and creativity, with a focus on validating AI-generated code and translating vague requirements into concrete implementations.

• Proficiency in full-stack development, including proficiency in AI-assisted coding tools such as GitHub Copilot, Claude Code, or similar.
• Strong grounding in modern web frameworks like React, Next.js, Node.js, Go, and Python.
• Familiarity with cloud platforms AWS, Azure, GCP, and cloud-native architecture.
• Experience with containerization Docker, CI/CD workflows Git, GitHub Actions, and version control.
• Working knowledge of relational databases PostgreSQL, MySQL, and NoSQL databases MongoDB, DynamoDB.

This role offers the opportunity to work at the forefront of AI-enhanced development, collaborating with cross-functional teams to drive innovation and growth. The ideal candidate will have a strong background in software engineering, experience leading or mentoring AI-enhanced development teams, and a passion for staying up-to-date with the latest advancements in generative AI.

Critical thinking and attention to detail are essential skills for this role, as is the ability to communicate effectively with both technical and non-technical stakeholders. If you are a motivated and adaptable professional with a passion for AI-assisted software engineering, we encourage you to apply.