566 AI Professional jobs in Singapore

Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field.

Python is a must, with at least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.

Proficiency in other applicable programming languages.

Strong knowledge of machine learning, data mining, and predictive modeling.

Excellent understanding of machine learning algorithms, processes, tools, and platforms.

Possess strong problem-solving and strategic thinking abilities.

Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches

Agentic AI / Generative AI solution design and implementation

Exceptional communication, documentation and presentation skills and stakeholder management experiences

Knowledge of Agile

Responsibilities:

• Develop and implement AI models using machine learning and deep learning techniques to solve complex business problems.
• Develop and implement machine learning algorithms to enhance AI capabilities.
• Collaborate with data scientists and engineers to optimize AI models and improve performance.
• Design and integrate natural language processing systems for AI-powered applications.
• Research and implement cutting-edge AI technologies and frameworks.
• Create and maintain documentation for AI model development and deployment processes.
• Test and validate AI models to ensure accuracy and reliability in real-world scenarios

Requirements:

• At least 2-3 years of experience in AI engineering or machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
• Experience in deploying machine learning models into production.
• Strong proficiency in for building modern, responsive web applications.
• Proficiency in for backend development and API creation.
• Experience with JavaScript, HTML, CSS, and other front-end technologies.
• Familiarity with cloud platforms like AWS or Azure for deploying and scaling applications.
• Experience with database management systems (e.g., SQL, NoSQL).
• Ability to work with APIs and integrate third-party services.

Our Address and Working Hours:

Seatrium Pioneer Yard

50 Gul Road Singapore

(Island wide transport provided)

Mon - Thu: 8am - 5:15pm, Fri: 8am to 4:30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

MINDEF

Permanent/Contract

Closing in 2 day(s)

What the role is

You deep dive into technical solutions, work with operational users to acquire datasets and models for the Singapore Armed Forces (SAF) as a product developer.

What you will be working on

• Stay up-to-date with the latest developments in Artificial Intelligence and Machine Learning (AI/ML) technology
• Proactively identify, initiate and promulgate worthwhile engineering projects across the SAF
• Work with operational users to acquire datasets and models
• Develop and implement AI/ML solutions for SAF use
  Challenge(s):
• Maintaining in-depth understanding of AI/ML and languages like Python
• Staying acquainted with the latest AI/ML technologies and understanding their application and impact to ensure the deployment of AI/ML tools is beneficial to the SAF

What we are looking for

• Education in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science and Analytics
• At least 3 years of relevant work experience is preferred
• Deep understanding of AI/ML, including supervised and unsupervised learning, neural networks and deep learning
• Hands-on experience with current AI tools like TensorFlow and PyTorch
• Ability to multi-task and work under stressful environments
• Strong leadership traits, good planning abilities, and communication skills
• Proficiency in data structures and algorithms
  (Applicants with no experience may .)
  Only shortlisted candidates will be notified.

About MINDEF

The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor.
The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF's mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.

About your application process

This job is closing in 2 day(s).

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MINDEF or the wider Public Service.

Key Responsibilities:

• Software Development: Design, develop, and maintain high-performance software applications and systems using C++ for core functionalities where performance and efficiency are critical, and Python for scripting, automation, rapid prototyping, data processing, and integration with other systems.
• System Integration: Integrate C++ components with Python-based systems or services, potentially using tools like SWIG or PyBind11, to create comprehensive solutions.
• Performance Optimization: Identify and resolve performance bottlenecks in C++ code, and optimize Python scripts for efficiency.
• Testing and Debugging: Develop and execute unit, integration, and system tests for both C++ and Python codebases. Diagnose and debug issues across different language environments.
• Collaboration: Work closely with cross-functional teams (e.g., hardware engineers, data scientists, QA) to define requirements, design solutions, and ensure seamless integration.
• Code Quality and Documentation: Adhere to coding standards, participate in code reviews, and maintain comprehensive technical documentation for both C++ and Python components.
• Tooling and Automation: Utilize Python for developing build scripts, testing frameworks, and other automation tools to streamline the development and deployment process.

Required Skills:

• MicroPython or Rust or C/C++
• Good English communications

• Software Development:Design, develop, and maintain high-performance software applications and systems using C++ for core functionalities where performance and efficiency are critical, and Python for scripting, automation, rapid prototyping, data processing, and integration with other systems.
• System Integration:Integrate C++ components with Python-based systems or services, potentially using tools like SWIG or PyBind11, to create comprehensive solutions.
• Performance Optimization:Identify and resolve performance bottlenecks in C++ code, and optimize Python scripts for efficiency.
• Testing and Debugging:Develop and execute unit, integration, and system tests for both C++ and Python codebases. Diagnose and debug issues across different language environments.
• Collaboration:Work closely with cross-functional teams (e.g., hardware engineers, data scientists, QA) to define requirements, design solutions, and ensure seamless integration.
• Code Quality and Documentation:Adhere to coding standards, participate in code reviews, and maintain comprehensive technical documentation for both C++ and Python components.
• Tooling and Automation:Utilize Python for developing build scripts, testing frameworks, and other automation tools to streamline the development and deployment process.

• MicroPython or Rust or C/C++
• Good English communications

Key Responsibilities:

• Software Development:Design, develop, and maintain high-performance software applications and systems using C++ for core functionalities where performance and efficiency are critical, and Python for scripting, automation, rapid prototyping, data processing, and integration with other systems.
• System Integration:Integrate C++ components with Python-based systems or services, potentially using tools like SWIG or PyBind11, to create comprehensive solutions.
• Performance Optimization:Identify and resolve performance bottlenecks in C++ code, and optimize Python scripts for efficiency.
• Testing and Debugging:Develop and execute unit, integration, and system tests for both C++ and Python codebases. Diagnose and debug issues across different language environments.
• Collaboration:Work closely with cross-functional teams (e.g., hardware engineers, data scientists, QA) to define requirements, design solutions, and ensure seamless integration.
• Code Quality and Documentation:Adhere to coding standards, participate in code reviews, and maintain comprehensive technical documentation for both C++ and Python components.
• Tooling and Automation:Utilize Python for developing build scripts, testing frameworks, and other automation tools to streamline the development and deployment process.

Required Skills:

• MicroPython or Rust or C/C++
• Good English communications

We are seeking highly skilled professionals to join our team as Artificial Intelligence Consultants. This role offers an excellent opportunity to gain hands-on experience in AI technologies, software development and client consulting while contributing to real-world projects.

• Collaborate with clients and internal teams to gather and analyze requirements for the implementation of AI solutions.
• Design, develop, and deploy predictive models, NLP applications, and computer vision projects using AI/ML frameworks like TensorFlow PyTorch scikit-learn.
• Assist in integrating AI solutions into client systems and software applications, ensuring seamless data flow and efficient system operations.
• Support data preparation, model training, and evaluation processes to deliver high-quality results.
• Participate in software development lifecycle activities such as coding, testing, and documentation, adhering to industry best practices.
• Presentation of findings, solutions, and insights to clients in a clear, professional manner.
• Continuously learn and stay updated on AI trends, tools, and best practices to drive innovation and improvement.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or related fields.
• Strong interest in AI/ML, data analytics, and software consulting.
• Basic programming skills in Python, Java, or C++; experience with AI/ML frameworks is a plus.
• Understanding of data structures, algorithms, and software development principles.
• Good problem-solving and analytical skills, with the ability to work effectively under pressure.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Eagerness to learn and adapt in a fast-paced environment, with a willingness to take on new challenges.

WE TAKE YOU ABOVE BEYOND

Take your passion to the next level and work alongside other masters of their craft to build a fulfilling and rewarding career at Marina Bay Sands.

Job Summary

At Marina Bay Sands, the primary responsibility of the Senior Developer will be to execute all Development related activities for local MBS IT Projects whilst aligning to standards & best practices followed within the organization.

Job Responsibilities

• Execute application development deliverables and activities
• Design, develop, and deploy scalable AI/ML/DL models using state-of-the-art techniques.
• Build, fine-tune, and operationalize LLMs and Agentic AI systems for enterprise-grade applications.
• Leverage Azure OpenAI and other cloud-native services to implement advanced AI capabilities.
• Collaborate with data engineers to ensure seamless data pipeline integration and model deployment.
• Implement robust MLOps/DevOps practices for continuous integration, delivery, and monitoring of AI models.
• Translate complex business requirements into technical solutions in collaboration with cross-functional teams.
• Optimize model performance for scalability, reliability, and production-readiness.
• Stay abreast of the latest advancements in AI, ML, and cloud technologies, and apply them to real-world problems.
• Participate in various phases of the Software Development Life Cycle (SDLC) for IT Projects and to interface with various IT stakeholders such as 3rd party vendor suppliers, business analysts and project managers to perform development activities
• Documenting the application and database design
• Conducting Peer code reviews and Unit Testing
• Work closely with the Application Development team and QA teams to ensure any defects highlighted in QA or UAT phases are remediated.
• Adhere to SDLC, and Project Governance internal and regulatory (Sarbanes Oxley & Gaming Regulatory Authority) guidelines, policies, and procedures.

Job Requirements

Education & Certification

• Bachelor's / Master's degree in Computer Science, Information Technology, or related field.

Experience

• Minimum 5 years of hands-on experience in AI/ML/DL development, with a strong focus on Deep Learning and Generative AI.
• Proficient in Python, PyTorch/TensorFlow, Apache Spark, and SQL.
• Experience in one or more OSS frameworks for ML ops like Kubeflow / MLFlow
• Demonstrated experience with Azure AI services, particularly Azure OpenAI and Azure Machine Learning.
• Exposure to data engineering tools and concepts (e.g., Azure Data Factory, Delta Lake).
• Hands-on experience with modern Generative AI architectures, including Agentic AI frameworks (e.g., LangChain, LangGraph, MCP, Semantic Kernel), and Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and advanced prompt engineering techniques.
• Experience delivering solutions using both agile and waterfall methodologies in fast-paced environments.
• Solid understanding of DevOps and MLOps practices, including tools such as GitHub Actions, Azure DevOps, MLflow, and version control systems, with additional familiarity in DevSecOps approaches for embedding security into the development and deployment lifecycle.

Other Prerequisites

• Strong communication skills with the ability to engage diverse stakeholders and demonstrate proactiveness.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore. Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.

As an AI Research and Development Intern, you will play a vital role in AI experimentation , model development , and optimization. You will work alongside experienced engineers in a hands-on environment, contributing to groundbreaking advancements in Ai technology .

• Collaborate with team members on AI model development and experimentation.
• Assist in data preprocessing, model training, and performance evaluation.
• Conduct literature reviews to stay up-to-date with recent AI advancements.
• Develop tools and scripts to streamline workflows.
• Document findings, experiments, and model behavior.

Essential Requirements:

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches).
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data, or analytics projects.
• Familiarity with deep learning frameworks or research publications.
• Possess strong problem-solving and strategic thinking abilities.
• Highly motivated.

Desirable Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Electrical & Electronic Engineering, AI, Data Science, or a related field.
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.