1,028 AI Specialist jobs in Singapore

• Analyse diverse, complex healthcare datasets to identify patterns and extract meaningful insights.
• Synthesise findings into actionable recommendations and define opportunities for AI-driven solutions.
• Design, develop, implement, and validate a range of machine learning and AI models, including predictive modelling, classification, clustering, natural language processing, and computer vision techniques.
• Conduct rigorous validation and testing of AI models to ensure they meet clinical efficacy and regulatory standards.
• Effectively communicate data-driven insights, analytical results, and model capabilities to diverse stakeholders through clear presentations, visualisations, and documentation.

Generative AI Application Development (RAG & Agentic Systems)

• Design, develop, and deploy Generative AI applications, utilising architectures such as Retrieval Augmented Generation (RAG), Agentic RAG, and Graph RAG.
• Build and implement agentic AI workflows capable of complex task execution, reasoning, and dynamic interaction with diverse data sources, APIs, and tools.
• Leverage and customize a range of cloud-based Generative AI components and search services to create robust and scalable AI-powered capabilities for the healthcare domain.

Candidates should possess:

• A Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a closely related technical field.
• Minimum 3-5 years of experience deploying production-grade Generative AI applications, with a portfolio demonstrating RAG systems, agentic AI solutions, or cloud LLM integrations.
• Expert Python proficiency required. Extensive experience with GenAI application frameworks is highly desirable; familiarity with deep learning frameworks is beneficial.
• Solid experience building and deploying robust, scalable backend APIs; asynchronous programming experience is a strong advantage.
• Proficiency with SQL/NoSQL databases expected; experience with vector databases and embedding models is highly preferred and a significant advantage.

This role offers:

• The opportunity to work on cutting-edge Generative AI projects.
• Collaboration with experienced professionals in the field.
• Professional growth and development opportunities.

We are a forward-thinking organisation dedicated to harnessing the power of AI for social good.

We are seeking a highly skilled Data and AI Engineer to join our team. As a key member of our organization, you will play a crucial role in assisting senior engineers in training, fine-tuning, and deploying AI models such as chatbots and predictive analytics.

Clean, preprocess, and analyze datasets to support machine learning workflows. Explore and apply generative AI tools for tasks like synthetic data generation and automated documentation.

• Proficiency in programming languages such as Python, Java, JavaScript, or Golang.
• Experience with cloud-native systems and agile methodologies.
• Strong analytical and problem-solving skills.

This is a 12-month contract opportunity that offers the chance to work on exciting projects and develop your skills in a dynamic environment.

Monitor product performance metrics and present progress and plans to stakeholders across all seniority levels. Collaborate with UX, engineering, and QA teams to deliver product features aligned with the roadmap.

Responsibilities:

• Contribute to the design and implementation of AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

Requirements:

• Bachelor's Degree in Computer Science, Engineering, Data Science, or any other relevant subject.
• Minimum 2 years of experience in Data Science and Machine Learning.
• Deploying LLMs, AI Agents and AI Solutions, integrate and deploy open source AI models and solutions from Huggingface repository.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

TOPPAN Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at or

For more career opportunities, please visit our career site at:-

(Please copy & paste the above link onto your browser)

Responsibilities:

• Contribute to the design and implementation of AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

Requirements:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or any other relevant subject.
• Minimum 2 years of experience in Data Science and Machine Learning.
• Deploying LLMs, AI Agents and AI Solutions, integrate and deploy open source AI models and solutions from Huggingface repository.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

TOPPAN Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at or

For more career opportunities, please visit our career site at:-

(Please copy & paste the above link onto your browser)

We are seeking a seasoned expert in Artificial Intelligence to drive the design, development, and deployment of advanced AI solutions across various business domains. This role demands a unique blend of deep research expertise and hands-on engineering skills to drive innovation and deliver impactful AI-driven applications.

• Design, develop, and deploy scalable AI models, including large language models (LLMs) and other machine learning algorithms.
• Implement end-to-end solutions from data preprocessing to model deployment in production environments.
• Utilize cloud platforms for model training and deployment.
• Implement MLOps practices for continuous integration and delivery of AI models.
• Stay updated on the latest advancements in AI/ML and GenAI.
• Lead research initiatives to explore new methodologies and technologies.
• Work closely with stakeholders to translate business needs into technical solutions.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Minimum of 8 years in AI/ML development, with at least 3 years in a technical leadership role.
• Proven track record of deploying AI solutions in production environments.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or similar.
• Familiarity with cloud services and MLOps tools.
• Strong problem-solving abilities and analytical thinking.
• Excellent communication and collaboration skills.

• Experience with Generative AI models and applications.
• Contributions to open-source AI projects or publications in reputable journals or conferences.

Are you passionate about driving cloud transformation across diverse industries? Join our dynamic team as a Cloud & AI Specialist , where you will play a pivotal role in accelerating Microsoft Azure adoption across Singapore. You will collaborate with a high-performing team of Solution Engineers and cross-functional stakeholders to deliver impactful cloud solutions that address complex customer needs.

As a Cloud & AI Specialist , you are a business leader with deep technical and business knowledge within our enterprise sales organization, working with our most important customers in Singapore. A core competency of the role is to advance the engagement process to achieve/exceed quarterly Azure consumption targets across Infrastructure, Data, and AI platforms in your assigned accounts. You possess executive presence, you are able to engage with decision makers to drive AI transformation, and have an insatiable interest for learning how Azure cloud services can deliver digital transformation. You will lead a virtual team of sales, technical, and services resources to help customers realize transformation through cloud computing. You will identify projects, build a compelling business case, and drive the consumption project to production. You will build and maintain relationships with customers, influence long-term strategic direction and act as a trusted advisor driving engagement at the CXO level with business and technology decision makers. You will help customers evaluate their cloud strategy, determine approaches to application and data migration and modernization, and recommend solutions that meet their requirements. You will remove roadblocks to deployment and drive customer satisfaction.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Sales Execution

• Brings impactful industry insights into customer engagements and closes deals with customers. Acts as a thought leader across solution areas to advise customers across business functions on digital transformation. Leads virtual transformational shifts to drive deployment and create business value for customers. May lead partner integration into account/territory planning and customer engagements. Provides thought leadership.
• Orchestrates with team members on conducting personal campaigns to discover new opportunities and generate new leads. Leads conversations with strategic/high-potential customers (e.g., high budget, global account, highly competitive) along with account teams or partners. Facilitates the account team unit (ATU) and/or Specialist Team Unit (STU) to build pipeline in collaboration with partners and services. Guides others on social selling. Applies Microsoft's sales process to determine the quality of the opportunity and whether to proceed and educate the customers on how to best address their needs.

Scaling and Collaboration

• Leads the planning and execution on opportunities with resources and partners to cross-sell and up-sell. Identifies, leverages, and coordinates partners and resources across solution areas. Validates partner solution relevance for customers. Provides input and feedback to Global Partner Solutions (GPS) on developing partner strategies and connects the partner ecosystems to scale business results.
• Leads the sales orchestration with internal stakeholders and partners (e.g., Enterprise Operating Unit). Applies a holistic approach to build network across territories. Positions opportunities to promote collaboration and participation.

Technical Knowledge

• Requires a 200 level technical knowledge and has completed or is pursuing completion of Azure 900 level certifications

Sales Excellence

• Builds and transforms new markets by leveraging technical and industry knowledge, partners, and resources. Leads a team to explore business and emerging opportunities to optimize the portfolio and facilitate customer innovation.

Required/minimum qualifications

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, Information Security, or related field AND 4+ years experience in technology-related sales or account management OR equivalent experience.
• 2+ years solution or services sales experience.

Additional or preferred qualifications

• Master's Degree in Business Administration (i.e., MBA), Information Technology, Information Security, or related field AND 6+ years experience in technology-related sales or account management OR Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 8+ years experience in technology-related sales or account management OR equivalent experience.
• 4+ years solution or services sales experience.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations .

About our team:

A Reputed Bank.

Key Responsibilities and Tasks:

• Develop, deploy, and govern AI, ML, and GenAI solutions.
• Identify and promote innovative use cases for AI and GenAI.
• Support the development of custom AI applications, models, and solutions.
• Work on functional design, process design including scenario design, flow mapping, prototyping, testing, training, and defining support procedures in collaboration with other teams.
• Lead and develop chatbot (ChatGPT) and automation business flow using Microsoft technology stack such as MS OpenAI, AI Search, Power Platform.
• Encourage experimentation and prototyping to drive digital transformation.
• Implement security measures to protect data and AI models.

Requirements:

• Bachelor's degree in Computer Science/Artificial Intelligence/Data Science.
• 5 years of experience in applying AI/ML and GenAI to practical and comprehensive technology solutions.
• In-depth knowledge of AI and GenAI technologies, including machine learning, deep learning, natural language processing, and generative models.
• Proficiency in using AI development frameworks e.g., TensorFlow, PyTorch.
• Deep understanding in Azure Cloud, MS OpenAI, AI Search, Form Recognizer, ADLS, and Cosmos DB.
• Practical experience in defining MLOps and DataOps.
• Experience in REST API development, familiar with development framework such as TypeScript (React), Spring Boot, etc
• Experience in VectorDB, NoSQL database design, and RDBMS design and optimizations.
• Professional certifications in Azure, Artificial Intelligence & Data Science, etc.

Our organization is seeking an experienced Artificial Intelligence (AI) Model Development Specialist to lead the design, development, and deployment of machine learning models and algorithms.