1,255 AI Engineer jobs in Singapore

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).

Mid-Senior level

Full-time

Information Technology

Banking, Financial Services, and Technology, Information and Media

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
#J-18808-Ljbffr

As an AI Engineer, you'll play a key role in the development and optimization of ELGO's no-code

platform and LLM-based workflows. Instead of model training or fine-tuning, your focus will be on

building reusable, configurable, and scalable LLM-powered components that can be orchestrated by

users without writing code.

You'll work closely with our CTO and engineering team to implement advanced LLM workflows,

multi-agent logic, evaluation mechanisms, and performance monitoring that power real-world

business applications.

Roles & Responsibilities:

• Develop and optimize backend systems for LLM workflow orchestration (retrieval, chaining,

evaluation, memory).

• Implement reusable components (e.g., retrieval nodes, validation agents, evaluators) to

power the no-code platform.

• Integrate and manage third-party models (e.g., OpenAI, Anthropic, AWS Bedrock, open-

source models).

• Develop and maintain multi-agent and tool-augmented AI workflows for common enterprise

use cases.

• Work on RAG pipelines, contextual memory management, and prompt engineering best

practices.

• Collaborate with front-end and platform engineers to support the no-code interface.

• Conduct systematic evaluations and performance tracking of LLM applications in production.

• Stay updated with emerging GenAI and agentic framework trends.

Requirements:

Core Requirements

• Bachelor's degree in Computer Science, AI/ML Engineering, or equivalent experience with

about 2-4 years relevant working experience.

• Strong Python programming skills with experience in LangChain, FastAPI, or equivalent

frameworks.

• Experience in building production-grade RAG applications and integrating with APIs.

• Familiarity with databases (e.g., PostgreSQL, MongoDB, Redis).

• Experience with cloud platforms (primary: AWS; secondary: Azure, GCP).

• Understanding of LLM architecture and practical applications.

Key Traits

• Strong problem-solving and systems thinking.

• Bias for action and comfort working in a fast-paced startup environment.

• Clear communication and collaborative mindset.

• Curiosity and openness to new ideas and technologies.

• Willingness to contribute beyond code – including product feedback, customer empathy, and

roadmap planning.

Optional Requirements

• Familiarity with vector databases (e.g., Qdrant, Weaviate etc.).

• Experience building agentic workflows or using frameworks like AutoGen, LangFlow,

LangChain or CrewAI.

• Frontend familiarity (e.g., ) or backend scripting with Golang.

• Prior work with evaluation frameworks for LLM performance and safety.

What We Offer:

• A front-row seat to building the next generation of enterprise AI tooling.

• The opportunity to help shape one of Asia's most promising GenAI startups.

• Exposure to real-world challenges and impactful deployments.

• A supportive and transparent team environment that values outcomes over hours.

• Growth opportunities across product, engineering leadership, and R&D.

We're looking for an experienced AI Engineer to join our AI and Data Department, driving the development, deployment, and governance of cutting-edge AI, ML, and Generative AI (GenAI) solutions. In this role, you'll work closely with business and technology teams to design scalable, secure, and intelligent systems that accelerate digital transformation and enterprise AI adoption.

What You'll Do:

• Design and implement AI/ML and GenAI applications tailored to real-world business needs.
• Identify new AI opportunities and lead advisory discussions on emerging technologies.
• Work with cross-functional teams to design workflows, build prototypes, conduct testing, and deploy solutions.
• Lead chatbot and process automation initiatives using Microsoft OpenAI, AI Search, and Power Platform.
• Benchmark and evaluate models such as GPT, Claude, and Llama to ensure optimal business fit.
• Implement and enforce data protection, AI governance, and ethical AI standards.
• Provide ongoing support, monitoring, and optimization of deployed AI solutions.

What You'll Bring:

• Bachelor's degree in AI, Data Science, Computer Science, or related field.
• Certifications in Azure, AI, or Data Science preferred.
• Strong background in Azure AI stack, including MS OpenAI, AI Search, Form Recognizer, ADLS, and Cosmos DB.
• Hands-on experience with TensorFlow, PyTorch, and Large Language Models (LLMs) like GPT, Claude, or Llama.
• Proficiency in agentic AI, MLOps/DataOps, and API development (TypeScript, React, Spring Boot).
• Solid understanding of VectorDB, NoSQL, and RDBMS design principles.
• Excellent data analysis and statistical modeling skills.
• Knowledge of AI governance, compliance, and ethical AI frameworks.

EA Licence No.:18S9405 / EA Reg. No.:R

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at to stay informed about new opportunities and events.

• Developing AI-driven automation and next generation AI tools.
• Strong understanding of data center network support and NOC operations, AI engineering, and a passion for developing innovative solutions to complex business challenges.
• Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals.
• Work with engineering and data teams to design and architect scalable, robust, and innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents NOC operations).
• Take on Solution Owner role in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features.
• Drive evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs.
• Develop and ownership of key components of the automation framework, including PowerShell and Python runbook executors.
• Develop and train ML models for tasks such as anomaly detection, predictive maintenance, and capacity planning in IT environments.
• Work with large datasets of IT operational data, performing data cleaning, feature engineering, and data analysis to improve model accuracy and performance.
• Contribute to the development of internal automation tools and frameworks.
• Deliver continuous service improvements by proactively identifying opportunities for process enhancements.
• Develop AI/Gen AI point solutions to meet business needs.
• Resolve and troubleshoot issues related to automation systems and AI models.
• Collaborate with customers, IT operators, Network Engineers, and internal stakeholders to gather requirements, validate solutions, and ensure product-market fit.
• Subject Matter Expert on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance and insights.
• Documentation of automation processes, code, and models clearly and concisely.
• Contribute to team results to achieve team goals and objectives.
• Take on skills, knowledge development and training of team members.

Requirements

• Around 4+ years of experience in IT services, with at least 3 years in:
• IT Service Automation – Orchestration, Scripting, & Process Assessment.
• Work experience in AI Engineering; Develop and deploy AI Agents and cutting-edge GenAI & ML solutions to address complex business challenges.
• Strong knowledge to integrate various tools and building analytics/insights.
• Verse with at least two scripting languages such as PowerShell, Python, or Shell Script.
• Strong foundation across core IT domains, with a specific emphasis on Network & Network Services, including understanding network topologies, protocols, and common operational issues.
• Competence at implementing solutions using state-of-the-art LLMs, with hands-on experience with both open-source models (e.g., Llama series) and proprietary models (e.g., GPT-4).
• Verse with major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning.
• Verse with high-level programming language (Java, Python) and experience with containerization technologies (Docker, Kubernetes) for deploying AI models.
• Solid understanding and practical experience with cloud platforms such as Azure or GCP, including knowledge of their networking services (e.g., VNets, VPCs).
• Work experience with AI/ML libraries and frameworks.
• Sound knowledge of ITIL process on one or more service lifecycle or service capability modules.
• Good Knowledge in one or more System administrative activities like monitoring, service requests, incident management, change management, & maintenance.
• Ability to converse and explain concepts and solutions clearly and concisely.
• Analytical and problem-solving skills.
• Mentorship experience

Kindly understand that only shortlisted candidates will be notified.

WeLead Solutions Pte Ltd

Poon Wai Soon, Bernard

Reg. No: R

EA License No.: 23C1882

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Geo-Insights

ST Engineering Geo-Insights Pte Ltd is a satellite downstream services provider focused on satellite ground station operations, satellite imagery distribution and generating insights from geospatial data for maritime, agriculture and sustainability applications. We are looking for team members who are passionate about implementing technological solutions to solve real world problems and delivering social, economic and environmental value. You can look forward to a growth-oriented career in a supportive and fast-paced environment.

Together, We Can Make A Significant Impact

You will be responsible to prospect and pitch to potential new clients and establish a robust pipeline of opportunities. You will develop creatives for offline and online marketing and communications materials.  You will work closely with other engineers, designers, and project managers to deliver high-quality proposals and marketing collaterals for Geospatial Analytics solutions that meet our clients' needs.

Be Part of Our Success

• Design, develop and train Machine Learning algorithms for geo-spatial applications.
• Review relevant publications to understand and apply cutting edge concepts to integrate into business products.
• Work closely with product, business development and sales teams to understand business goals and determine AI requirements.
• Work with software team to integrate developed algorithms into geospatial system products
• Provide pre and post sales technical support

Qualities We Value

• Knowledge in Electrical Engineering / Computer Science or equivalent.
• At least 5 years of relevant experience.
• Proficient in machine learning and deep learning technologies.
• Proficient in python programming and experience with libraries such as OpenCV, Scikit-learn, PyTorch, and LangChain.
• Knowledge of Flask, NodeJS or other app frameworks, and containerization, for quick prototyping.
• Knowledge of Large Language Models, Retrieval Augmented Generation, retrieval optimization, and graph database will be an advantage.
• Applicants should be motivated, proactive, able to work independently and results oriented.
• Singaporean only
• Applicants with more experience may be considered for senior role.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone's unique contributions are celebrated.
• Meaningful work and projects that make a difference in people's lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Working Location: Ang Mo Kio

POSITION OVERVIEW : AI Engineer

POSITION GENERAL DUTIES AND TASKS :

Position Summary:

We are seeking a highly skilled and experienced GenAI Engineer to join our team. The ideal candidate will have a strong background in GenAI development, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred. As a GenAI Engineer, you will play a key role in designing, developing, and implementing cutting-edge GenAI solutions that leverage the power of Azure and OpenAI technologies.

Role and Responsibilities:

• Design, develop, and implement GenAI solutions that integrate with Azure and OpenAI platforms.

• Collaborate with cross-functional teams to gather requirements and define project objectives.

• Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.

· Develop and maintain scalable and efficient codebase for GenAI applications. · Optimize GenAI models and algorithms for performance and accuracy.

• Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.

• Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.

• Provide technical guidance and mentorship to junior team members.

• Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.

Requirements:

• Bachelor's or master's degree in computer science, Engineering, or a related field.

• Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred.

• Strong programming skills in languages such as Python and/or Java.

• Experience with Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Functions.

Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcement learning frameworks.

• Solid understanding of machine learning algorithms and deep learning frameworks.

• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.

· Strong problem-solving and analytical skills. · Excellent communication and collaboration abilities.

• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

• Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.

• Knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML

• Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.

• Knowledge of containerization technologies such as Docker and Kubernetes.

· Familiarity with DevOps practices and tools for CI/CD pipelines. · Contributions to open-source GenAI or cloud service integration projects

ourteam is hiring an AI Engineer on behalf of a US-based AI company building next-generation voice assistants for business travelers. In this role, you'll design retrieval-augmented generation (RAG) pipelines, engineer prompts, and fine-tune large language models to deliver natural, hands-free experiences. This role will play a key part in delivering enterprise-grade knowledge assistants and AI-driven products.

Role Description

This is a full-time role open to remote talent in Singapore or Malaysia, with hybrid options available. From prompt design to large-scale deployment, you'll help deliver voice-first AI experiences to users worldwide.

Key Responsibilities

• Design and implement intelligent applications leveraging RAG frameworks, integrating retrieval with generative models.
• Build and optimize prompt templates to improve model accuracy, consistency, and controllability.
• Evaluate and select embedding models, vector databases (e.g., FAISS, Pinecone, Milvus), and large language models.
• Develop and maintain data pipelines for knowledge bases, including document parsing, chunking, cleaning, and vectorization.
• Research and apply prompt tuning, fine-tuning, and LLMOps methods to enhance model performance.
• Monitor and analyze production performance, continuously improving accuracy and robustness.
• Collaborate closely with product managers and engineering teams to embed AI capabilities into business solutions.

Qualifications

Required

• Bachelor's degree in Computer Science, AI, Data Science, or related field
• Strong understanding of large language models (OpenAI, LLaMA, Claude, etc.)
• Proficiency in prompt engineering, with the ability to design and optimize prompts for different use cases.
• Hands-on experience with RAG systems, including vector guidelines and retrieval pipelines
• Proficiency in Python, plus frameworks like PyTorch, LangChain, LlamaIndex
• Familiarity with cloud (AWS/GCP) and containerized deployment (Docker/Kubernetes)
• Excellent problem-solving and collaboration skills

Nice-to-Have

• Experience fine-tuning LLMs or parameter-efficient tuning (LoRA, PEFT)
• Background in multimodal AI (voice, text, image)
• Experience in MLOps/LLMOps for AI pipelines
• Contributions to AI/NLP research or open source projects

What We Offer

• Competitive salary with performance-based bonuses
• Flexible remote/hybrid work setup
• Access to extensive learning resources and career development opportunities.
• Comprehensive health benefits and team-building activities

About ourteamourteam is building the future of work for Southeast Asia's AI economy. We connect fast-growing companies with top-tier talent—on-demand, vetted, and ready to go. Whether you're hiring engineers, designers, or operators, ourteam makes it simple with AI screening, instant placement, and seamless payroll integration. We're here to unlock access to world-class opportunities across the region—for individuals, teams, and companies alike.

Job Type: Full-time

Work Location: Remote

ourteam is hiring an AI Engineer on behalf of a US-based AI company building next-generation voice assistants for business travelers. In this role, you'll design retrieval-augmented generation (RAG) pipelines, engineer prompts, and fine-tune large language models to deliver natural, hands-free experiences. This role will play a key part in delivering enterprise-grade knowledge assistants and AI-driven products.

Role Description

This is a full-time role open to remote talent in
Singapore or Malaysia
, with hybrid options available. From prompt design to large-scale deployment, you'll help deliver voice-first AI experiences to users worldwide.

Key Responsibilities

• Design and implement intelligent applications leveraging RAG frameworks, integrating retrieval with generative models.
• Build and optimize prompt templates to improve model accuracy, consistency, and controllability.
• Evaluate and select embedding models, vector databases (e.g., FAISS, Pinecone, Milvus), and large language models.
• Develop and maintain data pipelines for knowledge bases, including document parsing, chunking, cleaning, and vectorization.
• Research and apply prompt tuning, fine-tuning, and LLMOps methods to enhance model performance.
• Monitor and analyze production performance, continuously improving accuracy and robustness.
• Collaborate closely with product managers and engineering teams to embed AI capabilities into business solutions.

Qualifications

Required

• Bachelor's degree in Computer Science, AI, Data Science, or related field
• Strong understanding of large language models (OpenAI, LLaMA, Claude, etc.)
• Proficiency in prompt engineering, with the ability to design and optimize prompts for different use cases.
• Hands-on experience with RAG systems, including vector guidelines and retrieval pipelines
• Proficiency in Python, plus frameworks like PyTorch, LangChain, LlamaIndex
• Familiarity with cloud (AWS/GCP) and containerized deployment (Docker/Kubernetes)
• Excellent problem-solving and collaboration skills

Nice-to-Have

• Experience fine-tuning LLMs or parameter-efficient tuning (LoRA, PEFT)
• Background in multimodal AI (voice, text, image)
• Experience in MLOps/LLMOps for AI pipelines
• Contributions to AI/NLP research or open source projects

What We Offer

• Competitive salary with performance-based bonuses
• Flexible remote/hybrid work setup
• Access to extensive learning resources and career development opportunities.
• Comprehensive health benefits and team-building activities

About ourteam

ourteam is building the future of work for Southeast Asia's AI economy. We connect fast-growing companies with top-tier talent—on-demand, vetted, and ready to go. Whether you're hiring engineers, designers, or operators, ourteam makes it simple with AI screening, instant placement, and seamless payroll integration. We're here to unlock access to world-class opportunities across the region—for individuals, teams, and companies alike.