891 AI Applications jobs in Singapore

Overview
We are seeking an experienced IT Project Manager to oversee AI application and data platform projects in the financial crime compliance domain. The role requires strong project management, business analysis, and quantitative skills to deliver enterprise-grade technology solutions.

We are hiring for mid senior to senior IT Project Manager based on experience and skills.

Key Responsibilities

• Manage end-to-end IT project delivery for AI applications and data platforms.
• Gather, analyse, and document business requirements through workshops and stakeholder engagement.
• Prepare Business Requirement Documents (BRDs) and Functional Specification Documents (FSDs).
• Design functional solutions for AI, AML, and financial crime compliance projects.
• Lead User Acceptance Testing (UAT), prepare test plans, and manage defect resolution.
• Coordinate with development teams to ensure alignment with business objectives.
• Oversee change request management, conduct impact assessments, and maintain updated documentation.
• Collaborate with cloud deployment teams to ensure successful implementation.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related discipline.
• 5–10 years’ experience in IT project management, business analysis, or data engineering.
• Proven experience delivering AI or data-intensive technology projects.
• Strong quantitative skills and analytical mindset.
• Familiarity with AML, financial crime compliance, or Quantexa platform is an advantage.
• Knowledge of Agile/Scrum methodologies.

Overview
We are seeking an experienced IT Project Manager to oversee AI application and data platform projects in the financial crime compliance domain. The role requires strong project management, business analysis, and quantitative skills to deliver enterprise-grade technology solutions.
We are hiring for mid senior to senior IT Project Manager based on experience and skills.
Key Responsibilities
Manage end-to-end IT project delivery for AI applications and data platforms.
Gather, analyse, and document business requirements through workshops and stakeholder engagement.
Prepare Business Requirement Documents (BRDs) and Functional Specification Documents (FSDs).
Design functional solutions for AI, AML, and financial crime compliance projects.
Lead User Acceptance Testing (UAT), prepare test plans, and manage defect resolution.
Coordinate with development teams to ensure alignment with business objectives.
Oversee change request management, conduct impact assessments, and maintain updated documentation.
Collaborate with cloud deployment teams to ensure successful implementation.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or related discipline.
5–10 years’ experience in IT project management, business analysis, or data engineering.
Proven experience delivering AI or data-intensive technology projects.
Strong quantitative skills and analytical mindset.
Familiarity with AML, financial crime compliance, or Quantexa platform is an advantage.
Knowledge of Agile/Scrum methodologies.
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Overview
We are seeking an experienced IT Project Manager to oversee AI application and data platform projects in the financial crime compliance domain. The role requires strong project management, business analysis, and quantitative skills to deliver enterprise-grade technology solutions.

We are hiring for mid senior to senior IT Project Manager based on experience and skills.

Key Responsibilities

• Manage end-to-end IT project delivery for AI applications and data platforms.
• Gather, analyse, and document business requirements through workshops and stakeholder engagement.
• Prepare Business Requirement Documents (BRDs) and Functional Specification Documents (FSDs).
• Design functional solutions for AI, AML, and financial crime compliance projects.
• Lead User Acceptance Testing (UAT), prepare test plans, and manage defect resolution.
• Coordinate with development teams to ensure alignment with business objectives.
• Oversee change request management, conduct impact assessments, and maintain updated documentation.
• Collaborate with cloud deployment teams to ensure successful implementation.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related discipline.
• 5–10 years’ experience in IT project management, business analysis, or data engineering.
• Proven experience delivering AI or data-intensive technology projects.
• Strong quantitative skills and analytical mindset.
• Familiarity with AML, financial crime compliance, or Quantexa platform is an advantage.
• Knowledge of Agile/Scrum methodologies.

Job Title: AI/ML Engineer (Cybersecurity Applications)
Salary: $6,000 – $7,500/month
Contract Duration: 12 months (extendable)
Eligibility: Singaporeans only

• Drive the adoption of state-of-the-art AI/ML for cybersecurity
• End-to-end exposure: from model experimentation to production
• Work with open-source frameworks like Flowise and LangChain

GovTech’s Cybersecurity Division is seeking an AI/ML Engineer to develop next-generation cyber defense solutions . This role is ideal for engineers who enjoy applying AI to solve real-world challenges, especially in the national security domain.

• Build agentic AI workflows and SOC automation with human-in-the-loop approval
• Design and manage vector search systems for real-time intelligence retrieval
• Deploy cloud AI services (AWS Sagemaker/Bedrock, Google Vertex AI)
• Develop CI/CD pipelines and containerised deployments (Docker/Kubernetes)
• Collaborate with cybersecurity experts to deliver impactful AI solutions

• Bachelor’s Degree or higher in Computer Science, Data Science, or related field
• 2–3 years’ hands-on experience in:
  ▪ Python, NLP, Computer Vision
  ▪ Vector databases and CI/CD practices
  ▪ LangChain and AI/LLM-powered applications
• Familiarity with data warehousing (Amazon Redshift, BigQuery) an advantage
• Strong problem-solving mindset and willingness to learn

Apply via MyCareersFuture. Only shortlisted applicants will be contacted. By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and disclosing your personal data to our clients and partners for the purpose of evaluating your suitability for job opportunities and related recruitment services. You acknowledge that you have read, understood, and agree to our Privacy Policy for Job Applicants, available at .

Internal Ref: JJ – JO 26939A

BGC Group Pte Ltd (Outsourcing)

EA 05C3053

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant

people from all over the world come together to share ideas and inspire each other. In aerospace,

transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related

activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.

About Us

At Thales Research and Technology (TRT) & CortAIx, we extend the influence of Thales within the

scientific and technical communities, offering a platform for innovation and knowledge sharing, and attracting talented research engineers to further develop our expertise.

In the Radar Centre of Excellence, we are exploring and creating new capabilities for future radar

products leveraging innovative and cutting-edge technologies like digital twin, artificial intelligence and quantum computing.

Role Description

We are seeking a motivated and young engineer to join our team. In this role, you will be in touch with the latest multi-functions radar technology and you will be responsible for the study, development and test of Machine Learning (ML) models that could enhance capabilities of multi-functions radars.

To be successful in this role, curiosity for what is new, willingness to challenge the status quo, open-mindedness and out-of-the-box thinking are crucial. You should quickly learn and assess new techniques and technologies in order to decide whether to adopt, adapt or discard them. You also needs to be able to come up with new ideas, present them, challenge them and improve them continuously. You must possess deep, hands-on technical skills in radar and software.

· Exposed to AI algorithms applied to the Radar domain

· Eager to explore new concepts and technologies and be plunged into a creative, innovative and fast-paced environment

· Have proven dedication and willingness towards continuous improvement and learning new skills and technology

· Self-starter, with an ability to manage your own workload and meet your agreed objectives, whilst also contributing to the development and delivery of wider operational goals

· Want to follow the latest advanced tools and the latest trends in Artificial Intelligence

Requirements:

· Graduated with a Master of Engineering, Computer Science, Artificial Intelligence, or any related field

· Have a strong knowledge in Artificial Intelligence and design of Machine Learning (ML) models

· Master programming and scripting languages (Python)

· Have a deep understanding of foundational concepts in radar, mathematics, physics, science

· Able to creatively and analytically in a problem-solving environment

· Have the eagerness to contribute in a team-oriented environment

· Possess good communication skills and can interact with various stakeholders (scientists, engineers, customers)

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant

people from all over the world come together to share ideas and inspire each other. In aerospace,

transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related

activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.

About Us

At Thales Research and Technology (TRT) & CortAIx, we extend the influence of Thales within the

scientific and technical communities, offering a platform for innovation and knowledge sharing, and attracting talented research engineers to further develop our expertise.

In the Radar Centre of Excellence, we are exploring and creating new capabilities for future radar

products leveraging innovative and cutting-edge technologies like digital twin, artificial intelligence and quantum computing.

Role Description

We are seeking a motivated and young engineer to join our team. In this role, you will be in touch with the latest multi-functions radar technology and you will be responsible for the study, development and test of Machine Learning (ML) models that could enhance capabilities of multi-functions radars.

To be successful in this role, curiosity for what is new, willingness to challenge the status quo, open-mindedness and out-of-the-box thinking are crucial. You should quickly learn and assess new techniques and technologies in order to decide whether to adopt, adapt or discard them. You also needs to be able to come up with new ideas, present them, challenge them and improve them continuously. You must possess deep, hands-on technical skills in radar and software.

· Exposed to AI algorithms applied to the Radar domain

· Eager to explore new concepts and technologies and be plunged into a creative, innovative and fast-paced environment

· Have proven dedication and willingness towards continuous improvement and learning new skills and technology

· Self-starter, with an ability to manage your own workload and meet your agreed objectives, whilst also contributing to the development and delivery of wider operational goals

· Want to follow the latest advanced tools and the latest trends in Artificial Intelligence

Requirements:

· Graduated with a Master of Engineering, Computer Science, Artificial Intelligence, or any related field

· Have a strong knowledge in Artificial Intelligence and design of Machine Learning (ML) models

· Master programming and scripting languages (Python)

· Have a deep understanding of foundational concepts in radar, mathematics, physics, science

· Able to creatively and analytically in a problem-solving environment

· Have the eagerness to contribute in a team-oriented environment

· Possess good communication skills and can interact with various stakeholders (scientists, engineers, customers)

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

• Envisioning and preparing the Bank’s futures information systems
• Partnering and supporting core banking flagships and transverse areas in their large scale development projects
• Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Position

In a challenging and multicultural environment, we are looking for a Machine Learning /AI Engineer to join our Digital Excellence Centre (DEC) department of Crédit Agricole CIB. The department handles the development of transversal and international projects.

We are looking for a seasoned Machine Learning Engineer with a strong background in data science and applied ML , who can design, build, and deploy end-to-end machine learning solutions. This hybrid role requires a hands-on expert who can not only build models when needed but also engineer scalable, production-grade ML systems while adhering to the organization's AI governance and compliance standards.

Main responsibilities

• Collaborate with data scientists and business stakeholders to understand use cases and define ML solution; work on Proof of Concepts wherever needed
• Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.).
• Build & maintain data pipelines and model performance for scalability and maintainability.
• Ensure all models adhere to organizational AI policies, responsible AI practices, and audit requirements.
• Support data exploration, feature engineering, and occasional model building where needed.
• Automate model retraining, testing, and monitoring to ensure performance over time.
• Document ML workflows, governance checkpoints, and risk assessments.
• Partner with DevOps, IT, and security teams to integrate solutions into enterprise platforms.

The position requires autonomy and reliability in performing duties while maintaining close communication with rest of stake-holders.

Qualifications and Profile

• 5 years of experience in data science and machine learning, with at least 3+ years in ML engineering roles .
• Proven experience in end-to-end ML lifecycle : data wrangling, model development, deployment, and monitoring.
• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, etc.).
• Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
• Experience with MLOps tools : MLflow, TFX, Airflow, Kubeflow, or similar.
• Familiarity with cloud platforms (GCP, AWS, or Azure) for ML deployment.
• Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
• Strong understanding of AI governance, model risk management , and regulatory requirements in AI.
• Ability to communicate technical concepts to non-technical stakeholders.

Good to have:

• Experience with Responsible AI frameworks and bias/fairness testing.
• Exposure to feature stores , model registries , and data versioning .
• Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Banking, Financial Services, and Technology, Information and Media

Referrals increase your chances of interviewing at Crédit Agricole CIB by 2x

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Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

• Envisioning and preparing the Bank’s futures information systems
• Partnering and supporting core banking flagships and transverse areas in their large scale development projects
• Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Position

In a challenging and multicultural environment, we are looking for a Machine Learning /AI Engineer to join our Digital Excellence Centre (DEC) department of Crédit Agricole CIB. The department handles the development of transversal and international projects.

We are looking for a seasoned Machine Learning Engineer with a strong background in data science and applied ML , who can design, build, and deploy end-to-end machine learning solutions. This hybrid role requires a hands-on expert who can not only build models when needed but also engineer scalable, production-grade ML systems while adhering to the organization's AI governance and compliance standards.

Main responsibilities

• Collaborate with data scientists and business stakeholders to understand use cases and define ML solution; work on Proof of Concepts wherever needed
• Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.).
• Build & maintain data pipelines and model performance for scalability and maintainability.
• Ensure all models adhere to organizational AI policies, responsible AI practices, and audit requirements.
• Support data exploration, feature engineering, and occasional model building where needed.
• Automate model retraining, testing, and monitoring to ensure performance over time.
• Document ML workflows, governance checkpoints, and risk assessments.
• Partner with DevOps, IT, and security teams to integrate solutions into enterprise platforms.

The position requires autonomy and reliability in performing duties while maintaining close communication with rest of stake-holders.

Qualifications and Profile

• 5 years of experience in data science and machine learning, with at least 3+ years in ML engineering roles .
• Proven experience in end-to-end ML lifecycle : data wrangling, model development, deployment, and monitoring.
• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, etc.).
• Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
• Experience with MLOps tools : MLflow, TFX, Airflow, Kubeflow, or similar.
• Familiarity with cloud platforms (GCP, AWS, or Azure) for ML deployment.
• Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
• Strong understanding of AI governance, model risk management , and regulatory requirements in AI.
• Ability to communicate technical concepts to non-technical stakeholders.

Good to have:

• Experience with Responsible AI frameworks and bias/fairness testing.
• Exposure to feature stores , model registries , and data versioning .
• Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Banking, Financial Services, and Technology, Information and Media

Referrals increase your chances of interviewing at Crédit Agricole CIB by 2x

Get notified about new Machine Learning Engineer jobs in Singapore, Singapore .

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