1089 AI Specialists jobs in Singapore

We're on the hunt for a visionary AI Application Engineer to craft innovative, real-world solutions by seamlessly integrating AI platforms and large language models.

About the Role:

As an integral part of our AI development team, you'll create intelligent systems that elevate business processes and customer experiences.

Key Responsibilities:

• Develop and integrate cutting-edge AI applications using related technologies
• Collaborate with cross-functional teams to deliver impactful AI solutions
• Conduct research and testing to optimize AI model performance and interaction quality
• Support deployment, monitoring, and maintenance of AI systems
• Stay updated with the latest advancements in AI and natural language processing

Ideal Candidate Requirements:

• Recent Diploma or Graduate in Computer Science, Software Engineering, AI/ML, or related disciplines
• Good Aptitude
• Basic programming skills in Python, Java, or other relevant languages
• Strong problem-solving and analytical skills
• Good communication skills and a team-oriented mindset
• Passion for AI, innovation, and continuous learning

AI Developer Position

A highly skilled developer is sought to create, deploy and maintain advanced AI-powered applications for enhancing cybersecurity operations. This position involves building complex systems with Large Language Models (LLMs), developing human-in-the-loop workflows and integrating AI into security solutions to improve automation, detection and response.

• Design and build production-grade AI applications using LLMs and frameworks such as LangChain
• Develop and maintain agent-based systems for security automation
• Implement human-in-the-loop workflows for critical operations
• Create and refine prompt engineering strategies for LLMs

Technical Implementation Details

• Build and optimize vector database solutions (e.g., Pinecone, FAISS)
• Design prompt templates, chains, and evaluation frameworks
• Implement systematic prompt testing, versioning, and management
• Fine-tune prompts for security-specific use cases

System Architecture & Infrastructure Overview

• Ensure scalability, performance, and reliability of AI applications
• Maintain CI/CD pipelines for continuous delivery and integration
• Implement robust monitoring, logging, and error-handling systems

Collaboration & Innovation Opportunities

• Partner with security teams (SOC, Detection, Threat Hunting) to apply AI in real-world scenarios
• Collaborate with infrastructure teams to support deployment and scaling
• Share best practices in prompt engineering and AI system design
• Document technical architectures, workflows, and prompt strategies
• Contribute to research and innovation in AI for cybersecurity

Spearhead the development and deployment of AI/ML solutions across the enterprise. Focus on high-performance applications with robust architectures.

• Create scalable pipelines, APIs, and microservices using frameworks like FastAPI for real-time and batch AI applications.
• Design effective prompt strategies for instruction-following, reasoning, and multi-turn conversations, focusing on RAG architectures for personalized domain-specific use cases.
• Select and tune embedding models to optimize semantic search and RAG performance.
• Oversee model evaluation, deployment, rollback strategies, and monitoring in production environments.
• Drive model fine-tuning efforts to customize LLMs for proprietary datasets and regulated industries.
• Establish testing frameworks covering functional testing, regression testing, hallucination detection, safety filters, and output quality assessment.
• Implement enterprise-grade observability, lineage tracking, and CI/CD automation using tools such as MLflow, Databricks, Azure ML, or Vertex AI.
• Lead continuous improvement initiatives based on telemetry, user feedback, and cost-performance trade-offs.

• Minimum 5 years' experience architecting and deploying AI/ML solutions in enterprise environments.
• Deep expertise in machine learning, deep learning, and generative AI technologies, including hands-on experience with frameworks like TensorFlow, PyTorch, and modern LLM orchestration tools.
• Strong familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices for end-to-end machine learning lifecycle management.
• Demonstrated leadership in managing agile, cross-functional teams and collaborating with stakeholders.
• Significant experience in prompt engineering and prompt design for LLMs and GenAI applications.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field; advanced degrees or certifications are advantageous.
• Experience with personalization, recommendation systems, or conversational AI is highly desirable.

Job Overview

As a senior software engineer, you will be involved in the research and development of an AI project to automate 3D modeling of the prostate gland. This project aims to leverage machine learning algorithms to improve medical imaging accuracy.

Responsibilities include gathering and processing data for training and testing, as well as maintaining and improving software code developed by third-party vendors. Additionally, you will perform any other software development tasks assigned and document software designs and code changes.

Key Qualifications and Skills:

• Bachelor's and/or Master's degree in Computer Science, Computer Engineering or related technical discipline.
• At least 3 years of working experience in the related area.
• Proficiency in C++ and strong background in mathematics.
• Experience in C# and Python is an added advantage.
• Familiarity with basic computer vision and pattern recognition algorithms, as well as machine learning algorithms.

This will be a 1-year renewable contract position based in Jurong West. As a seasoned Full Stack Developer , you will play a crucial role in upgrading and modernizing our existing system ensuring scalability, robustness, and performance improvements.

• Design, implement agentic AI frameworks.
• Integrate LLM APIs and advanced AI workflows.
• Collaborate with data scientists, supply chain experts, and business stakeholders to translate models into capabilities.
• Design APIs and services for seamless interaction between algorithms, AI agents, and modules.
• Enforce code quality, security, and documentation.
• Lead agile development practices (code reviews, CI/CD pipelines, and testing automation).

To excel in this role, you must possess the following skills and qualifications:

• Experience as a Full Stack Developer integrating AI/ML models into production-grade software systems.
• Front-end: Angular or React.
• Back-end: Python, Java, or equivalent.
• Database: MSSQL, schema design, performance tuning.
• Cloud: AWS, Azure, or GCP.
• Containerization: Docker/Kubernetes.
• Knowledge on: RESTful APIs design and integration, large language models (LLMs) and agentic AI frameworks (e.g., Dify, LangChain, AutoGen).

As a valued member of our team, you will enjoy the following benefits:

• Experience in supply chain, demand forecasting, or inventory planning systems.
• Understanding of time series forecasting models and integration into applications.
• Knowledge of MLOps practices for deploying and monitoring ML/AI pipelines.

Join us in creating innovative solutions that drive business growth and success.

AI Engineer

Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients.

AI Engineer

AI Engineer

Artificial Intelligence

BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent

Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.

• Design, develop, and implement AI/ML algorithms and models to solve business challenges.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
• Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
• Develop data pipelines and preprocessing methods for model training and deployment.
• Monitor, evaluate, and improve the performance of AI models and systems.
• Conduct experiments to validate hypotheses and enhance AI system capabilities.
• Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
• Create technical documentation for AI models and workflows.

• Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
• Strong understanding of data structures, algorithms, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
• Knowledge of MLOps tools and practices for model deployment and monitoring.
• Ability to work with large datasets and build scalable AI solutions.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and collaboration skills.
• Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
• Exposure to big data technologies (e.g., Hadoop, Spark).
• Knowledge of model interpretability and explainability methods.

Singapore

Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East. On-site benefits apply.

Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad

Visit URL and Apply directly online by filling our form.

The Core Insurance Business Unit delivers consulting and implementation services that help global insurers achieve digital transformation and operational excellence.

Our expertise spans system design, integration, and support for SAP/SAP Fioneer’s insurance applications (e.g., Policy Management, Claims Management, Incentives & Commission Management, Collections & Disbursements), as well as msg.life Factory , Europe’s leading policy administration system.

We are also advancing the use of Artificial Intelligence (AI) and Machine Learning (ML) in the insurance domain — building next-generation data-driven solutions to optimize underwriting, claims, customer engagement, and operational efficiency.

• Plan, design, and develop advanced AI/ML models and algorithms that solve real-world insurance challenges.
• Extract, transform, and integrate data from multiple sources (structured and unstructured) to support model development.
• Lead the research and prototyping of new AI methodologies (e.g., NLP, predictive analytics, deep learning) tailored to the insurance sector.
• Explore and visualize complex datasets to uncover insights and business value for clients.
• Conduct rigorous model testing, interpret findings, and evaluate performance for scaling and deployment.
• Collaborate with SAP/insurance consultants to integrate AI solutions into core insurance platforms (e.g., FS-PM, FS-CM).
• Identify risks, constraints, and assumptions in AI solution design, applying mitigation strategies.
• Publish knowledge, share expertise internally, and contribute to thought leadership in AI for insurance .
• Stay updated on emerging AI/ML technologies and assess their applicability to insurance transformation.

• Bachelor’s degree (or higher) in Computer Science, Information Technology, Programming & Systems Analysis, or a related field.
• Minimum 10 years of professional experience in AI/ML roles (e.g., AI Engineer, AI Researcher/Scientist).
• Proven ability to design, test, and deploy AI/ML models in production environments.
• Strong skills in statistics, data science, and programming (Python, R, Java, or similar).
• Experience integrating AI with SAP or insurance core systems (FS-PM, FS-CM, FS-ICM).
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience handling large, real-time, unstructured datasets.
• Excellent problem-solving and analytical skills.
• Strong communication skills and ability to work in cross-functional teams.
• Fluent in English (spoken and written).

• Prior exposure to insurance technology or financial services.
• Cloud experience with AI/ML services (AWS, Azure, GCP).
• Master’s degree, MBA, or relevant AI certifications.
• Additional local language skills.

• The opportunity to shape the future of AI in insurance with one of the largest SAP insurance consulting teams worldwide.
• A global, diverse workplace with leading experts in AI, SAP, and insurance.
• Competitive compensation and benefits.
• Continuous learning and professional growth in both AI innovation and the insurance industry.
• (Add local specifics: flexible working, healthcare, wellness programs, etc.)

We are seeking a seasoned engineering leader to spearhead our AI development efforts. As a key member of our team, you will be responsible for leading the software engineering, QA, DevSecOps, and AI engineering teams in delivering high-quality AI-driven products that meet business needs.

• Bachelor's or Master's degree in Computer Engineering, Computer Science, or related field.
• 7+ years in software, QA, or systems engineering, with 5+ years hands-on experience.
• Strong technical expertise in AI/ML, data science, analytics, and cloud environments (AWS/Azure).
• Excellent communication, analytical, and prioritization skills.

This role offers a unique opportunity to work on cutting-edge AI projects, collaborate with cross-functional teams, and drive business growth through technology innovation.

We are a forward-thinking organization dedicated to harnessing the power of AI to solve complex problems and drive business success. Our team is passionate about developing innovative solutions that make a real impact.

Monetary Authority of Singapore

Fixed Terms

Closing on 14 Sep 2025

What the role is

The AI Office is MAS' central coordinating unit to steer the strategic, responsible and effective adoption of Artificial Intelligence (AI) across the Authority. We are looking for a forward-thinking individual to join the team as AI Capability Development Manager.

What you will be working on

In this role, your primary responsibilities will be to:

• Drive AI adoption strategy and implementation across the organisation, working closely with business and technical teams to identify and develop AI augmented processes, focusing on translating AI capabilities and limitations workable solutions.
• Develop and execute AI literacy programmes for different staff segments, from basic awareness to advanced understanding.
• Contribute to the development of AI governance frameworks and ethical guidelines that balance innovation with responsible use.
• Build and maintain relationships with AI solution providers, research institutions, and internal stakeholders to facilitate knowledge exchange and collaboration.
• Create and maintain documentation on AI best practices, use cases, and lessons learned.
• Organise AI-focused events, workshops, and sharing sessions to promote knowledge sharing and build internal capabilities.
• Conduct proof-of-concept work on emerging AI trends and developments to provide strategic recommendations on potential applications within MAS.

What we are looking for

• Degree in Technology, Business, or related field with strong understanding of AI/ML fundamentals. No experience is required.
• Enthusiasm for AI and its applications within MAS and wider financial services sector.
• Experience in technology adoption programmes or digital transformation initiatives.
• Strong interest in AI governance and ethical considerations.
• Collaborative mindset and ability to work effectively in cross-functional teams.
• Able to work independently and drive multiple initiatives simultaneously.
• Analytical thinking and problem-solving skills with attention to detail.
• Adaptability and willingness to learn in a fast-paced environment.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

This is a 2-year contract. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

About Monetary Authority of Singapore

MAS is the central bank of Singapore. Our mission is to promote sustained non-inflationary economic growth, and a sound and progressive financial centre.

About your application process

This job is closing on 14 Sep 2025.

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 Monetary Authority of Singapore or the wider Public Service.